SHIMOHARA KATSUNORI
Faculty of Science and Engineering Department of Information Systems Design
Professor
Last Updated :2020/08/09

Researcher Profile and Settings

Research Interests

  • Socio-Informatics

Research Areas

  • Informatics/Intelligent informatics
  • Informatics/Human interfaces and interactions

Academic & Professional Experience

  • Graduate School of Informatics, Department of Systems Science, Kyoto University, 1998/04 - 2006/03

Education

  • Kyushu University, 1978
  • Kyushu University, Graduate School, Division of Engineering, 1978
  • Kyushu University, School of Engineering, 1976
  • Kyushu University, Faculty of Engineering, 1976

Academic Degrees

  • 博士(工学), 九州大学
  • 工学修士, 九州大学

Association Memberships

  • THE INSTITUTE OF ELECTRICAL ENGINEERS OF JAPAN

Awards & Honors

  • Best Paper Award (TOMODA Award)
    Sep. 2019, The Society of Instrument and Control Engineers, Can Graphical Interaction Increase Feelings of Conveying and Understanding in On-line Group Discussion?
  • Best Paper Award
    Dec. 2018, APWConCSE 2018, LexicalEntrainment in Interactionwith Two Robots
  • Best Paper Award
    Sep. 2018, AIMSA'2018: 18th Int. Conf. on Artificial Intelligence: Methodology, Systems, Applications, Evolving a Team of Asymmetric Predator Agents That Do Not Compute in Predator-prey Pursuit Problem
  • AROB Academic Achievement Award
    Mar. 2003, 8th Int. Sympo. on Artificial Life and Robotics
  • Best Paper Award
    Oct. 1998, The 5th Int. Conf. on Soft Computing and Information /Intelligent Systems, Cooperative Behavior in Evolved Modular Neural Networks, Methodologies for the Conception, Design and Application of Soft Computing
  • Best Paper Award
    Apr. 1992, 11th European Meeting on Cybernetics and Systems Research, EMG/EEG pattern recognition by neural network

Published Papers

  • Effect of Semi-autonomous Control of Avatar Robot's Head While in Remote Class
    Toshiaki Ohata, Madoka Takahara, Erina Makihara, Ivan Tanev, Katsunori Shimohara
    Proc. of SICE AC 2019, 511 - 515, 10 Sep. 2019
  • Verification of influence of size information added to input character on emotional expression
    Yu Edagawa, Ivan Tanev, Katsunori Shimohara
    Proc. of SICE AC 2019, 507 - 510, 10 Sep. 2019
  • Caregiver Support System for Nursing Care for Older Adults
    Kakiha Nakamura, Madoka Takahara, Ivan Tanev, Katsunori Shimohara
    Proc. of SICE AC 2019, 503 - 506, 10 Sep. 2019
  • Regional revitalization through finding potential hazards by object detection
    Ryo Shioya, Koya Kimura, Yurika Shiozu, Katsuhiko Yonezaki, Ivan Tanev, Katsunori Shimohara
    Proc. of SICE AC 2019, 499 - 502, 10 Sep. 2019
  • On the Relationality Assets model in Community Problem
    Katsuhiko YONEZAKI, Koya KIMURA, Kosuke OGITA, Ryo SHIOYA, Yurika SHIOZU, Katsunori SHIMOHARA
    Proc. of SICE AC 2019, 495 - 497, 10 Sep. 2019
  • Boundary and Relationality Perspective Systems Approach Toward Designing System of Systems
    Katsunori Shimohara
    Proc. of SICE AC 2019, 491 - 494, 10 Sep. 2019
  • A Scheme to Carry out Questionnaire in order to Evaluate Product Design and its Level of Excellence
    Masatoshi IMAI, Katsunori SHIMOHARA, Yoshiro IMAI, Tetsuo HATTORI
    Proceedings of the Fifth International Conference on Electronics and Software Science (ICESS2019), 32 - 39, Aug. 2019, English
  • Nursing Care Support System for Caregiver and Older Adults
    Madoka Takahara, Kakiha Nakamura, Fanwei Huang, Ivan Tanev, Katsunori Shimohara
    HIMI 2019, LNCS 11570568 - 577, 28 Jul. 2019
  • On the Relationality Assets and Gift-and-Circulation Model in Community Problem
    Katsuhiko Yonezaki, Kosuke Ogita, Koya Kimura, Yurika Shiozu, Ryo Shioya, Katsunori Shimohara
    HIMI 2019, LNCS 11569638 - 647, 28 Jul. 2019
  • Relationship Between Difference of Motivation and Behavior Change Caused by Visualization
    Yurika Shiozu, Koya Kimura, Ryo Shioya, Katsunori Shimohara, Katsuhiko Yonezaki
    HIMI 2019, LNCS 11569489 - 499, 28 Jul. 2019
  • Affective computing to help recognizing mistaken pedal-pressing during accidental braking
    Rahadian Yusuf, Ivan Tanev, Katsunori Shimohara
    Artificial Life and Robotics, 24(4)212 - 218, Jun. 2019
  • Semi-Autonomous Remote Control of Avatar Robot’s Head For Distance Education
    Toshiaki Ohata, Madoka Takahara, Ivan Tanev, Katsunori Shimohara
    5th Asian-Pacific World Congress on Computer Science and Engineering, 197 - 200, Dec. 2018
  • The Influence of priming information for the robots on peer pressure
    Shinya Otani, Mitsuhiko Kimoto, Masahiro Shiomi, Takamasa Iio, Katsunori Shimohara, Norihiro Hagita
    5th Asian-Pacific World Congress on Computer Science and Engineering, 184 - 189, Dec. 2018
  • Caregiver Support System for Nursing Care for Older Adults
    Madoka Takahara, Kakiha Nakamura, Fanwei Huang, Ivan Tanev, Katsunori Shimohara
    5th Asian-Pacific World Congress on Computer Science and Engineering, 121 - 124, Dec. 2018
  • Impression of a Caregiving Task by Communicating Robot’s Motion State through Robot Conversation
    Mitsuhiko Kimoto, Masahiro Shiomi, Takamasa Iio, Katsunori Shimohara, Norihiro Hagita
    5th Asian-Pacific World Congress on Computer Science and Engineering, 113 - 115, Dec. 2018
  • Investigating Impression of Storytelling with Robots to Multiple Children
    Yumiko Tamura, Mitsuhiko Kimoto, Masahiro Shiomi, Takamasa Iio, Norihiro Hagita, Katsunori Shimohara
    5th Asian-Pacific World Congress on Computer Science and Engineering, 38 - 44, Dec. 2018
  • Lexical entrainment in interaction with two robots
    Aoba Saito, Mitsuhiko Kimoto, Masahiro Shiomi, Takamasa Iio, Norihiro Hagita, Katsunori Shimohara
    5th Asian-Pacific World Congress on Computer Science and Engineering, 32 - 37, Dec. 2018
  • The Effect of CG Tree Shade on Indoor Space Appraisals
    Zhihao LI, Toshihiro BANDO, Ivan TANEV, Katsunori SHIMOHARA
    Proc. of the 4th Int. Conf. on Electronics and Software Science (ICESS2018), 130 - 133, Nov. 2018
  • Kansei Engineering-enhanced Collaborative Design of Promotion Poster
    Masatoshi IMAI, Katsunori SHIMOHARA, Yoshiro IMAI, Tetsuo HATTORI
    Proc. of the 4th Int. Conf. on Electronics and Software Science (ICESS2018), 81 - 87, Nov. 2018
  • A Multi-Agent Model for Social Behavior in Vehicular Traffic
    Aldrich Suratos, Ivan Tanev, Katsunori Shimohara
    Proc. of the 4th Int. Conf. on Electronics and Software Science (ICESS2018), 1 - 5, Nov. 2018
  • Recognition of Mistaken Pedal Pressing based on Pedal Pressing Behavior by using Genetic Programming
    Rahadian Yusuf, Albert Podusenko, Ivan Tanev, Katsunori Shimohara
    The 2018 Int. Conf. on Internet of Things and Intelligent Systems, 104 - 108, Nov. 2018
  • Cause and Effect Relationship between the Dynamics of Accelerator and Brake Pedals during Emergency Braking
    Albert Podusenko, Vsevolod Nikulin, Ivan Tanev, Katsunori Shimohara
    Int. J. of Automotive Engineering (JSAE), 9(4)332 - 337, Oct. 2018
  • Calibrating Depth Sensors for Pedestrian TrackingUsing a Robot as a Movable and Localized Landmark
    Mitsuhiko Kimoto, Masahiro Shiomi, Takamasa Iio, Katsunori Shimohara, Norihiro Hagita
    Proc. of the 2018 IEEE Int. Conf. on Systems, Man, and Cybernetics (SMC2018), 345 - 350, Oct. 2018
  • Reviews on Mistaken Pedal Pressing during Emergency Braking by Analyzing Pedal Behaviors
    R. Yusuf, I. Tanev, K. Shimohara
    Proc. of SICE AC 2018, 686 - 689, Sep. 2018
  • Evolving a Single-variable Controller for Automated Steering of a Car on Slippery Roads
    Natalia Alekseeva, Ivan Tanev, Katsunori Shimohara
    Proc. of SICE AC 2018, 680 - 685, Sep. 2018
  • Performance Analysis and Comparison on Heterogeneous and Homogeneous Multi-agent Societies in Correlation to their Average Capabilities
    Milen Georgiev, Ivan Tanev, Katsunori Shimohara
    Proc. of SICE AC 2018, 674 - 679, Sep. 2018
  • Simulation for Visualizing Relationality Assets in Local Community Toward Rebuilding of Communities
    Kosuke Ogita, Koya Kimura, Yurika Shiozu, Katsuhiko Yonezaki, Ivan Tanev, Katsunori Shimohara
    Proc. of SICE AC 2018, 670 - 673, Sep. 2018
  • Case Study about the Visualization of GPS Data As the Nudge and Place Attachment
    Yurika Shiozu, Koya Kimura, Katsunori Shimohara, Katsuhiko Yonezaki
    Proc. of SICE AC 2018, 666 - 669, Sep. 2018
  • Evolving a Team of Asymmetric Predator Agents That Do Not Compute in Predator-prey Pursuit Problem
    Ivan Tanev, Milen Georgiev, Katsunori Shimohara, Thomas Ray
    Proc. of the 18th Int. Conf. on Artificial Intelligence: Methodology, Systems, Applications (AIMSA 2018), LNAI 11089240 - 251, Sep. 2018
  • Evolving the Autosteering of a Car Featuring a Realistically Simulated Steering Response
    Vsevolod Nikulin, Albert Podusenko, Ivan Tanev, Katsunori Shimohara
    Genetic and Evolutionary Computation Conference (GECCO 2018), 1326 - 1332, 15 Jul. 2018
  • Coevolving Behavior and Morphology of Simple Agents that Model Small-scale Robots
    Milen Georgiev, Ivan Tanev, Katsunori Shimohara
    Genetic and Evolutionary Computation Conference 2018 (GECCO 2018), Workshop on Medical Applications of Genetic and Evolutionary Computation, 1576 - 1583, 15 Jul. 2018
  • Exploration of the Effect of Uncertainty in Homogeneous and Heterogeneous Multi-agent Societies with Regard to their Average Characteristics
    Milen Georgiev, Ivan Tanev, Katsunori Shimohara
    Genetic and Evolutionary Computation Conference 2018 (GECCO 2018), Workshop on Evolutionary Algorithms for Problems with Uncertainty, 1797 - 1804, 15 Jul. 2018
  • Case Study on Motivation to Participate in Private Provision of Local Public Goods and Time Spent in the Region Measured Using GPS
    Y. Shiozu, K. Kimura, K. Shimohara, K. Yonezaki
    HIMI 2018, LNCS 10905181 - 190, 15 Jul. 2018
  • A System to Visualize Location Information and Relationship Integratedly for Resident-centered Community Design
    K. Kimura, Y. Shiozu, K. Ogita, I. Tanev, K. Shimohara
    HIMI 2018, LNCS 1090436 - 44, 15 Jul. 2018
  • Evolving the Controller of Automated Steering of a Car in Slippery Road Conditions
    Natalia Alekseeva, Ivan Tanev, Katsunori Shimohara
    Algorithms, Special Issue on Algorithms for PID Controllers,, 11(7), Jul. 2018
  • Regression-based Supervised Learning of Autosteering of a Road Car Featuring a Delayed Steering Response
    Vsevolod Nikulin, Albert Podusenko, Ivan Tanev, Katsunori Shimohara
    Int. J. of Data Science and Analytics, Jun. 2018
  • Emergence of Collective Escaping Strategies of Various Sized Teams of Empathic Caribou Agents in the Wolf-caribou Predator-prey Problem
    Fang Wei Huang, Madoka Takahara, Ivan Tanev, Katsunori Shimohara
    IEEJ Trans. on Electronics, Information and Systems, 138(5)619 - 626, May 2018
  • Effects of Empathy, Swarming, and the Dilemma between Reactiveness and Proactiveness Incorporated in Caribou Agents on Evolution of their Escaping Behavior in the Wolf-Caribou Problem
    FangWei HUANG, Madoka TAKAHARA, IvanTANEV, Katsunori SHIMOHARA
    SICE J. of Control, Measurement, and System Integration, 11(3)230 - 238, May 2018
  • Detecting Driver-induced Steering Oscillations through Adaptive Thresholding of the Power Spectrum of Vehicle's Lateral Acceleration
    Dipak G. Sharma, Ivan Tanev, Katsunori Shimohara
    IEEJ Trans. on Electronics, Information and Systems, 138(3)254 - 262, Mar. 2018
  • Alife-based approach to analysis method of local community for resident-centered local community
    Koya Kimura, Yurika Shiozu, Kousuke Ogita, Ivan Tanev, Katsunori Shimohara
    Proc. of the 23rd Int. Symp. on Artificial Life and Robotics (AROB 23rd 2018), 106 - 109, Jan. 2018
  • System Supporting Self-Motivated Video-Viewing Stops for Children
    Mitsuhiko Kimoto, Tomoki Nakahata, Masahiro Shiomi, Takamasa Iio, Ivan Tanev, Katsunori Shimohara
    SICE J. of Control, Measurement, and System Integration, 11(1)48 - 54, Jan. 2018
  • A Visualization Method of Residents' Location for Media Spots Estimation
    KIMURA Koya, SHIOZU Yurika, OGITA Kosuke, TANEV Ivan, SHIMOHARA Katsunori
    <p>In this research, we aim to visualize activities in a local community for achieving resident-centered community design utilizing information and communication technology (ICT). For that purpose, we introduced a new core concept of &quot;media spots&quot; not only as places where residents could communicate with one another more frequently than in the other areas but also as a prospective platform to mediate relationality between people, &quot;Mono&quot; as tangible and physically perceived things, and &quot;Koto&quot; as intangible and cognitively conceived things. That is, &quot;media spots&quot; should have the potential to proactively promote resident-motivated communications and activities in local community. We have proposed, in this paper, a visualization method for media spots estimation from residents' location information that uses DBSCAN (density-based spatial clustering of applications with noise) for cleaning enormous amount of raw location information data. The present results suggested that representative points extracted by using DBSCAN could visualize activities in a local community more effectively, and estimate media spots more accurately, than the previously used method.</p>, SICE Journal of Control, Measurement, and System Integration, The Society of Instrument and Control Engineers, 11(2)122 - 127, 2018, English
  • How Do Communication Cues Change Impressions of Human-Robot Touch Interaction?
    Takahiro Hirano, Masahiro Shiomi, Takamasa Iio, Mitsuhiko Kimoto, Ivan Tanev, Katsunori Shimohara, Norihiro Hagita
    I. J. Social Robotics, 10(1)21 - 31, 2018
  • System for Visualizing and Managing Relationality Assets as Trust Enabling Rebuilding of Communities
    Katsunori Shimohara
    Proc. of the 4th Asia-Pacific World Conf. on Computer Science and Engineering, 88 - 92, 11 Dec. 2017
  • Comparative Analysis of Classifiers for Classification of Emergency Braking of Road Motor Vehicles
    Albert Podusenko, Vsevolod Nikulin, Ivan Tanev, Katsunori Shimohara
    Algorithms, Special Issue "Computational Intelligence and Nature-Inspired Algorithms for Real-World Data Analytics and Pattern Recognition", 10(129), Nov. 2017
  • Do Social Rewards from Robots Enhance Offline Improvements in Motor Skills?
    Soto Okumura, Mitsuhiko Kimoto, Masahiro Shiomi, Takamasa iio, Katsunori Shimohara, Norihiro Hagita
    Proc. of the 9th Int. Conf. on Social Robotics (ICSR2017), 32 - 41, Nov. 2017
  • Effects of a Listener Robot with Children in Storytelling
    Y. Tamura, M. Kimoto, M. Shiomi, T. Iio, K. Shimohara, N. Hagita
    HAI’17 Proc. of the 5th Int. Conf. on Human Agent Interaction, 35 - 43, 17 Oct. 2017
  • Regression-based Model for Autosteering of a Car with Delayed Steering Response
    Vsevolod Nikulin, Albert Podusenko, Ivan Tanev, Katsunori Shimohara
    2017 IEEE Int. Conf. on Data Science and Advanced Analytics (IEEE DSAA), 412 - 419, Oct. 2017
  • On the Effects of Anticipatory Modeling on Quality of Automated Steering of Simulated Car
    Vsevolod Nikulin, Albert Podusenko, Ivan Tanev, Katsunori Shimohara
    FAST-zero 2017, 22 Sep. 2017
  • Improving the Tactile Feeling of Brake Pedal by Means of Stochastic Resonance
    Ivan Tanev, Katsunori Shimohara
    FAST-zero 2017, 22 Sep. 2017
  • Cause and Effect Relationship between the Dynamics of Accelerator and Brake Pedals during Emergency Braking
    Albert Podusenko, Vsevolod Nikulin, Ivan Tanev, Katsunori Shimohara
    FAST-zero 2017, 22 Sep. 2017
  • Emergence of Collective Escaping Strategies of Empathic Caribou Agents with Swarming Behavior Implemented in Wolf-Caribou Predator-Prey Problem
    Huang, FangWei, Tanev, Ivan, Shimohara, Katsunori
    Proc. of SICE AC 2017, 1634 - 1637, 19 Sep. 2017
  • Evolving the Autosteering of a Car with Realistically Simulated Steering Response
    Nikulin, Vsevolod, Podusenko, Albert, Tanev, Ivan, Shimohara, Katsunori
    Proc. of SICE AC 2017, 1628 - 1633, 19 Sep. 2017
  • Prediction of Emergency Braking Based on the Pattern of Lifting Motion of Accelerator Pedal
    Albert Podusenko, Vsevolod Nikulin, Ivan Tanev, Katsunori Shimohara
    Proc. of SICE AC 2017, 1622 - 1627, 19 Sep. 2017
  • Stand-Alone Application of User-Specific Emotion Recognition Model to Improve Real-Time Online Voice Communication Using Expressive Avatar
    Rahadian Yusuf, Kazuma Hiroshima, Ivan Tanev, Katsunori Shimohara
    Proc. of SICE AC 2017, 1616 - 1621, 19 Sep. 2017
  • Willingness to Pay for Community Bus Services: A Japanese Case Study
    Y. Shiozu, K. Kimura, K. Shimohara, K. Yonezaki
    Proc. of SICE AC 2017, 1610 - 1615, 19 Sep. 2017
  • Individuality and User-Specific Approach in Adaptive Emotion Recognition Model
    R. Yusuf, D.G. Sharma, I. Tanev, K. Shimohara
    2017 Int. Conf. on Biometrics and Kansei Engineering, 1 - 6, 15 Sep. 2017
  • Sharing Indirect Biofeedback Information for Mutual Acceptance
    M. Takahara, F. Huang, I. Tanev, K. Shimohara
    HIMI 2017, LNCS 10273617 - 630, 14 Jul. 2017
  • Does the Visualization of the Local Problem Bring Altruism?
    Y. Shiozu, K. Kimura, K. Shimohara, K. Yonezaki
    HIMI 2017, LNCS 10273422 - 434, 14 Jul. 2017
  • Analysis of Location Information Gathered Through Residents’ Smartphones Toward Visualization of Communication in Local Community
    K. Kimura, Y. Shiozu, I. Tanev, K. Shimohara
    HIMI 2017, LNCS 10273103 - 111, 14 Jul. 2017
  • Evolutionary Optimization of Weight Coefficients of Power Spectrum for Detection of Driver-induced Steering Oscillations
    Dipak G. Sharma, Ivan Tanev, Katsunori Shimohara
    IEEE Congress on Evolutionary Computation 2017, 387 - 394, 05 Jun. 2017
  • Effects of Cruising Speed on Steering Oscillations of Car Induced by Modeled Cognitively Impaired Human Driver
    Dipak G. Sharma, Rahadian Yusuf, Ivan Tanev, Katsunori Shimohara
    SICE Journal of Control, Measurement, and System Integration, 10(3)156 - 164, May 2017
  • Mutual Awareness beyond Mutual Acceptance by Sharing Information through Indirect Biofeedback
    Madoka Takahara, Fanwei Huang, Ivan Tanev, Katsunori Shimohara
    The 2017 AAAI ssociation Spring Symposium, 746 - 750, 27 Mar. 2017
  • Preventing Driving Accidents via Detection of Driver-induced Steering Oscillations
    Dipak G. Sharma, Ivan Tanev, Katsunori Shimohara
    Proc. of the 5th Int. Conf. on Driver Distraction and Inattention, 20 Mar. 2017
  • Evaluation of Genetic Programs in Multiple Cases for Gait Classification and Recognition
    Dipak Sharma, Rahadian Yusuf, Ivan Tanev, Katsunori Shimohara
    IEEJ Trans. on Electronics, Information and Systems, 136(9)1400 - 1410, Sep. 2016
  • Model of ranking importance of users in Twitter by genetic programming
    Chi Pong Chan, Ivan Tanev, Katsunori Shimohara
    Proc. of SICE AC 2016, 1551 - 1555, Sep. 2016
  • E-learning Support System to Foster Practical Skills
    Tomoaki Takeda, Ivan Tanev, Katsunori Shimohara
    Proc. of SICE AC 2016, 838 - 841, Sep. 2016
  • Supporting better sleep by using a Hugvie
    T. Nagashio, M. Kimoto, M. Shiomi, T. Iio, I. Tanev, K. Shimohara
    Proc. of SICE AC 2016, 834 - 837, Sep. 2016
  • Implementation of Incremental GP on Evolving an Independent Emotion Recognition Module
    Rahadian Yusuf, Ivan Tanev, Katsunori Shimohara
    Proc. of SICE AC 2016, 537 - 542, Sep. 2016
  • Steering Oscillations as an Effect of Cognitive Delay in Human Drivers
    Dipak Sharma, Rahadian Yusuf, Ivan Tanev, Katsunori Shimohara
    Proc. of SICE AC 2016, 229 - 236, Sep. 2016
  • Self-identification of Mental State and Self-control Through Indirect Biofeedback
    Madoka Takahara, Jilin Huang, Ivan Tanev, Katsunori Shimohara
    IEEJ Trans. on Electronics, Information and Systems, 136(8)1155 - 1161, Aug. 2016
  • A Leader and Media Spot Estimation Method Using Location Information
    Koya Kimura, Yurika Shiozu, Ivan Tanev, Katsunori Shimohara
    HIMI 2016, LNCS 9735550 - 559, Jul. 2016
  • Video Recommendation System that Arranges Video Clips Based on Pre-defined Viewing Times
    M. Kimoto, T. Nakahata, T. Hirano, T. Nagashio, M. Shimoi, T. Iio, I. Tanev, K. Shimohara
    HIMI 2016, LNCS 9735478 - 486, Jul. 2016
  • The Temporal Analysis of Networks for Community Activity
    Yurika Shiozu, Koya Kimura, Katsunori Shimohara
    HIMI 2016, LNCS 973563 - 71, Jul. 2016
  • Self-identification of Mental State and Self-control through Indirect Biofeedback --- Indirect Representation and Placebo Effect ---
    Madoka Takahara, Jilin Huang, Ivan Tanev, Katsunori Shimohara
    J. of Robotics, Networking and Artificial Life, 3(1)50 - 54, Jun. 2016
  • Human gait analysis based on biological motion and evolutionary computing
    Dipak G. Sharma, Rahadian Yusuf, Ivan Tanev, Katsunori Shimohara
    Artificial Life and Robotics, 21(2)188 - 194, Apr. 2016
  • Evolving an emotion recognition module for an intelligent agent using genetic programming and a genetic algorithm
    Rahadian Yusuf, Dipak Sharma, Ivan Tanev, Katsunori Shimohara
    J. of Artificial Life and Robotics, 21(1)85 - 90, 26 Feb. 2016
  • The Effect of Duration of Both Stages of Incremental Genetic Programming on its Efficiency of Evolution of Snakebot
    Naoki Mukousaka, Yasuto Nishiwaki, Ivan Tanev, Katsunori Shimohara
    J. of Robotics, Networking and Artificial Life, 2(3)144 - 147, Feb. 2016
  • Relationship between Personality and Robots' Interaction Strategies in Object Reference Conversations
    Mitsuhiko Kimoto, Takamasa Iio, Masahiro Shiomi, Ivan Tanev, Katsunori Shimohara, Norihiro Hagita
    The recognition of an object indicated by an interacting person is an important function for a robot that provides services in daily environments. To improve recognition performance, we must decrease the ambiguity of indicating the behaviors of people. For this purpose, two interaction strategies have been proposed: explicitly providing instructions to people about how to refer to objects or implicitly aligning with people's indicating behaviors. Although human personality is an important factor in human-robot interactions, the relationship between personality and the two strategies has not been revealed. Moreover, it remains unknown which strategy is appropriate to individual personalities. In this paper, we investigate the relationship between human personalities and the two robot interaction strategies in object recognition contexts in conversations with people. Our experimental results suggest that appropriate interaction strategies differ by individual personalities., SECOND INTERNATIONAL CONFERENCE ON ELECTRONICS AND SOFTWARE SCIENCE (ICESS2016), SOC DIGITAL INFORMATION & WIRELESS COMMUNICATIONS, 128 - 136, 2016, English, Research paper (international conference proceedings)
  • Communication Cues in a Human-Robot Touch Interaction.
    Takahiro Hirano, Masahiro Shiomi, Takamasa Iio, Mitsuhiko Kimoto, Takuya Nagashio, Ivan Tanev, Katsunori Shimohara, Norihiro Hagita
    Proceedings of the Fourth International Conference on Human Agent Interaction, HAI 2016, Biopolis, Singapore, October 4-7, 2016, ACM, 201 - 206, 2016
  • Alignment Approach Comparison between Implicit and Explicit Suggestions in Object Reference Conversations.
    Mitsuhiko Kimoto, Takamasa Iio, Masahiro Shiomi, Ivan Tanev, Katsunori Shimohara, Norihiro Hagita
    Proceedings of the Fourth International Conference on Human Agent Interaction, HAI 2016, Biopolis, Singapore, October 4-7, 2016, ACM, 193 - 200, 2016
  • On the Effects of Epigenetic Programming on the Efficiency of Incremental Evolution of the Simulated Khepera Robot
    Yasuto Nishiwaki, Naoki Mukosaka, Ivan Tanev, Katsunori Shimohara
    J. of Robotics, Networking and Artificial Life, 2(2)107 - 110, Sep. 2015
  • A Measurement of the Local Community Activity by the Place
    Yurika Shiozu, Koya Kimura, Katsunori Shimohara
    Proc. of SICE AC 2015, 494 - 499, 28 Jul. 2015
  • Relationality Design for Local Community as System of Systems
    Koya Kimura, Yurika Shiozu, Ivan Tanev, Katsunori Shimohara
    Proc. of SICE AC 2015, 490 - 493, 28 Jul. 2015
  • Overlap of Virtual Entity on Learner’s Body for Fusing Experience in Learning Body Movement
    Takahisa Tsukamoto, Ivan Tanev, Katsunori Shimohara
    Proc. of SICE AC 2015, 482 - 485, 28 Jul. 2015
  • Performance Rendering System Based on Interactive Genetic Algorithms
    Yuri Tagawa, Ivan Tanev, Katsunori Shimohara
    Proc. of SICE AC 2015, 478 - 481, 28 Jul. 2015
  • Model of Important User Determination in OSN by Genetic Programming
    Chi Pong Chan, Ivan Tanev, Katsunori Shimohara
    Proc. of SICE AC 2015, 468 - 471, 28 Jul. 2015
  • Benefit-of-Inconvenience-oriented Handwriting Chat System for Enhancing Quality of Communications
    Naoki Kitano, Ivan Tanev, Katsunori Shimohara
    Proc. of SICE AC 2015, 464 - 467, 28 Jul. 2015
  • Voluntary Stop Supports of Video Viewing for Children
    Tomoki Nakahata, Masahiro Shiomi, Takamasa Iio, Ivan Tanev, Katsunori Shimohara
    Proc. of SICE AC 2015, 460 - 463, 28 Jul. 2015
  • Self-Organizing of Information by Rhizomic-Link which Autonomously Grows; Modeling and Evaluation of Rhizomic-Link mechanism
    Mitsuhiko Kimoto, Takamasa Iio, Masahiro Shiomi, Ivan Tanev, Katsunori Shimohara
    Proc. of SICE AC 2015, 456 - 459, 28 Jul. 2015
  • 3D Face Modeling Support System for Avatar by Using Interactive Genetic Algorithm
    FangWei Huang, Ivan Tanev, Kastunori Shimohara
    Int. Conf. on Electronics and Software Science (ICESS-2015), 98 - 106, 20 Jul. 2015
  • Evaluation of Genetic Programs in Multiple Cases Evolved for Gait Classification and Recognition
    Dipak Sharma, Rahadian Yusuf, Ivan Tanev, Katsunori Shimohara
    Int. Conf. on Electronics and Software Science (ICESS-2015), 87 - 97, 20 Jul. 2015
  • Can Graphical Interaction Affect Mutual Understanding?
    Mitsuhiko Kimoto, Takamasa Iio, Masahiro Shiomi, Ivan Tanev, Katsunori Shimohara
    Int. Conf. on Electronics and Software Science (ICESS-2015), 78 - 86, 20 Jul. 2015
  • Change of the Object Color Appearance by the Illumination Spectral Distribution
    Michitomo Ishii, Toshihiro Bando, Katsunori Shimohara
    Int. Conf. on Electronics and Software Science (ICESS-2015), 68 - 77, 20 Jul. 2015
  • Self-Identification of Mentality and Self-Control through Indirect Biofeedback
    Madoka Takahara, Ivan Tanev, Katsunori Shimohara
    Int. Conf. on Electronics and Software Science (ICESS-2015), 60 - 67, 20 Jul. 2015
  • Using Emotion Recognition Module Evolved by Genetic Programming for Emotion Analysis
    Rahadian Yusuf, Ivan Tanev, Katsunori Shimohara
    Int. Conf. on Electronics and Software Science (ICESS-2015), 49 - 59, 20 Jul. 2015
  • Relationality Design for System of Systems ?Tree-typed vs. Rhizome-typed Systems Approach−
    Katsunori Shimohara
    10th Asian Control Conference (ASCC2015), 2540 - 2544, 31 May 2015
  • Evolving Emotion Recognition Module of Intelligent Agent based on Facial Expression and Gestures
    Rahadian Yusuf, Dipak G. Sharma, Ivan Tanev, Katsunori Shimohara
    The 12th Int. Symp. on Artificial Life and Robotics 2015 (AROB 20th 2015), 227 - 232, 21 Jan. 2015
  • Human Gait Analysis Based on Biological Motion and Evolutionary Computing
    Dipak G. Sharma, Rahadian Yusuf, Ivan Tanev, Katsunori Shimohara
    The 12th Int. Symp. on Artificial Life and Robotics 2015 (AROB 20th 2015), 36 - 39, 21 Jan. 2015
  • Incremental Genetic Programming on its Efficiency of Evolution of Snakebot
    Naoki Mukosaka, Ivan Tanve, Katsunori Shimohara
    Proc, of The 2015 Int. Conf. on Artificial Life and Robotics (ICAROB 2015), 64 - 67, Jan. 2015
  • Human Recognition based on Gait Features and Genetic Programming
    D. G. Sharma, R. Yusuf, I. Tanve, K. Shimohara
    J. of Robotics, Networks and Artificial Life, 1(3)194 - 197, Dec. 2014
  • Modeling Synchronized Neuronal Activities by Quantum Constrained Probabilistic Computational Neuro-Genetic Method: Insight into the Coupling among Brain's Sub-systems from a Systems View
    Jian-Qin Liu, Katsunori Shimohara
    IEEJ Trans. on Electronics, Information and Systems, 134(11)1628 - 1633, Nov. 2014
  • Point Cloud Keypoint Detection based on Genetic Programming
    Yuejiang Li, Ivan Tanev, Katsunori Shimohara
    Proc. of SICE AC 2014, 797 - 802, 09 Sep. 2014
  • Driver Safety Monitoring Based on Genetic Programming
    Shuyao Wang, Ivan Tanev, Katsunori Shimoahra
    Proc. of SICE AC 2014, 150 - 154, 09 Sep. 2014
  • Designing Evolving Computer Agent Capable of Emotion Recognition and Expression
    Rahadian Yusuf, Shuyao Wang, Ivan Tanev, Katsunori Shimohara
    2014 AAAI Spring Symp. SS-14-01, 96 - 97, Feb. 2014
  • Epigenetic Programming and its Application to Mobile Robot
    Yasuto Nishiwaki, Ivan Tanev, Katsunori Shimohara
    Int. Conf. on Humanized Systems 2013, 66 - 68, Sep. 2013
  • Modeling Synchronized Neuronal Activities by Quantum Constrained Probabilistic Computational Neuro-Genetic Method
    Jian-Qin Liu, Katsunori Shimohara
    Int. Conf. on Humanized Systems 2013, 60 - 65, Sep. 2013
  • “Do!PaPi”: Platform of E-book as Media for Relationarity
    Koya Kimura, Mitsuhiko Kimoto, Ivan Tanev, Katsunori Shimohara
    Int. Conf. on Humanized Systems 2013, 50 - 53, Sep. 2013
  • Proposal of Topic-Driven Advertisement and its Possibility
    Wataru Matoba, Ivan Tanev, Katsunori Shimohara
    Int. Conf. on Humanized Systems 2013, 46 - 49, Sep. 2013
  • Note-taking Support System Enabling Cross-reference and Recommendation
    Go Suematsu, Ivan Tanev, Katsunori Shimohara
    Int. Conf. on Humanized Systems 2013, 42 - 45, Sep. 2013
  • Design of Intuitive Electronic Instruments Using Human Motion
    Masahiro Kanehira, Ivan Tanev, Katsunori Shimohara
    Int. Conf. on Humanized Systems 2013, 38 - 41, Sep. 2013
  • System for Generating Virtual Plants as Unconscious Self-expression: Toward Cultivating Human-to-human linkage
    Yukio Ono, Katsunori Shimohara, Ivan Tanev
    Int. Conf. on Humanized Systems 2013, 34 - 37, Sep. 2013
  • Puppet Show System on Computer Network
    Aoi Hirono, Ivan Tanev, Katsunori Shimohara
    Int. Conf. on Humanized Systems 2013, 30 - 33, Sep. 2013
  • Hormone-Inspired Behaviour Switching for the Control of Collective Robotic Organisms
    Tuze Kuyucu, Ivan Tanev, Katsunori Shimohara
    Robotics, 2(3)165 - 184, Jul. 2013
  • Detection of Division of Labor in Multiparty Collaboration
    Noriko Suzuki, Katsunori Shimohara
    HIMI 2013, LNCS 8018362 - 371, Jul. 2013
  • Incentive Structure of Participation in Community Activity
    Y. Shiozu, K. Yonezaki, K. Shimohara
    HIMI 2013, LNCS 8016259 - 268, Jul. 2013
  • Superadditive effect of multi-robot coordination in the exploration of unknown environments via stigmegic coordination
    Shimohara, K
    8th Int. Conf. on Humanized Systems (ICHS 2012), 312 - 315, 2012
  • Bridging local and global: multi-agent reinforcement learning from function approximation perspective
    Shimohara, K
    8th Int. Conf. on Humanized Systems (ICHS 2012), 204 - 208, 2012
  • Avoidance of Collision at the Intersection of the Driving Agent Using Multi Agent Approach
    Shimohara, K
    8th Int. Conf. on Humanized Systems (ICHS 2012), 194 - 197, 2012
  • Analysis of emergent division of roles and its reorganization
    Shimohara, K
    8th Int. Conf. on Humanized Systems (ICHS 2012), 57 - 62, 2012
  • Emergence of Behavior Rule in Predator-Prey Pursuit Problem with Limitation of Viewing Angle
    Shimohara, K
    8th Int. Conf. on Humanized Systems (ICHS 2012), 216 - 219, 2012
  • "Does expansion of perception range lead to global happiness?" – an analysis of a network-based Minority Game
    Shimohara, K
    8th Int. Conf. on Humanized Systems (ICHS 2012), 16 - 20, 2012
  • Spatial Design for Working with More Efficently on PCs by Using Augmented Reality
    Shimohara, K
    8th Int. Conf. on Humanized Systems (ICHS 2012), 52 - 56, 2012
  • Method of Subtraction in Relationality-oriented Systems Design
    Shimohara, K
    8th Int. Conf. on Humanized Systems (ICHS 2012), 187 - 192, 2012
  • Optimization of Pheromone-based Stigmergic Communication
    Shimohara, K
    Proc. of the 15th European Conference on Genetic Programming, EuroGP-2012, 63 - 72, 2012
  • The Effect of Bloat on the Efficiency of Incremental Evolution of Simulated Snake-like Robot
    Shimohara, K
    Proc. of the 15th European Conference on Genetic Programming, EuroGP-2012, 242 - 253, 2012
  • Genetic Transpositions for Efficient Coevolution of Locomotion and Sensing of Simulated Sidewinding Snakebot
    Shimohara, K
    Memetic Computing Journal, Springer, (4)183 - 200, 2012
  • Investigating Entrainment of People's Pointing Gestures by Robot's Gestures Using a WOZ Method
    Takamasa Iio, Masahiro Shiomi, Kazuhiko Shinozawa, Takaaki Akimoto, Katsunori Shimohara, Norihiro Hagita
    A person's behavior tends to be similar to that of the robot with which he or she is interacting, and this tendency is called entrainment. In this paper, we reveal the robot gestures that are important to the entrainment of people's pointing gestures. We conducted a laboratory experiment using a Wizard-of-Oz paradigm in which a participant and a robot have an object-reference conversation. The frequencies of a participant's pointing gestures in conversation were compared among three conditions: (1) gazing, (2) pointing and (3) gazing&pointing conditions. The results show that the participants in the gazing&pointing condition used the most pointing gestures, while those in the pointing condition used the fewest pointing gestures. This suggests that a robot's gazing gestures play an important role in the entrainment of people's pointing gestures., INTERNATIONAL JOURNAL OF SOCIAL ROBOTICS, SPRINGER, 3(4)405 - 414, Nov. 2011, English, Research paper (scientific journal)
  • Agent Mediated Communication for Creating Conversation-Based Community
    Shimohara, K
    2011 Int. Conf. on Biometrics and Kansei Engineering, 140 - 143, 2011
  • Artificial Fish Swarm Algorithm with Variable Parameters
    Shimohara, K
    2011 Int. Conf. on Humanized Systems, 97 - 101, 2011
  • Indoor Navigation System with Ad Hoc Network Using Mobile Terminal
    Shimohara, K
    2011 Int. Conf. on Humanized Systems, 15 - 18, 2011
  • Restricting Bloat Reduces Evolvability
    Shimohara, K
    the Second Australasian Workshop on Computation in Cyber-Physical Systems (CompCPS-2011), 9 - 10, 2011
  • Incremental Genetic Programming via Genetic Transpositions for Efficient Coevolution of Locomotion and Sensing of Simulated Snake-like Robot
    Shimohara, K
    Int. Conf. on the Simulation and Synthesis of Living Systems, 439 - 446, 2011
  • Incremental Genetic Programming via Genetic Transposition
    Shimohara, K
    Proc. of the Annual Conf. on Genetic and Evolutionary Computation (GECCO-2011), 19 - 20, 2011
  • Relationality-Oriented Systems Design for Emergence, Growth, and Operation of Relationality
    Shimohara, K
    HCI International 2011, 381 - 387, 2011
  • Child-Care Training System to Improve Quality of Child-Care
    Shimohara, K
    2011 Int. Conf. on Biometrics and Kansei Engineering, 165 - 168, 2011
  • Communication Tool Based on Concept of Downgrading
    Shimohara, K
    Proce. of the Int. Conf. on Humanized Systems 2010 (ICHS2010), 169 - 172, 2010
  • New Communication Utilizing Vital Information Through Internet
    Shimohara, K
    Proc. of the Int. Conf. on Humanized Systems 2010 (ICHS2010), 165 - 168, 2010
  • Facial Expressions: Dependency on Communication Contents
    Shimohara, K
    Proc. of the Int. Conf. on Humanized Systems 2010 (ICHS2010), 161 - 164, 2010
  • A New Form of TV Broadcasting Incorporating Internet –Auto-Play System of Internet Movie Contents
    Shimohara, K
    Proc. of the Int. Conf. on Humanized Systems 2010 (ICHS2010), 157 - 160, 2010
  • Persuasive Storytelling System
    Shimohara, K
    Proc. of the Int. Conf. on Humanized Systems 2010 (ICHS2010), 35 - 38, 2010
  • Designing Relationality: Towards Relationality-Oriented Systems Design
    Shimohara, K
    Proc. of the Int. Conf. on Humanized Systems 2010 (ICHS2010), 24 - 29, 2010
  • Augmented Reality Framework for Evolution of Driving Agent Remotely Operating a Scale Model of a Car
    Shimohara, K
    Proc. of the Int. Conf. on Humanized Systems 2010 (ICHS2010), 1 - 4, 2010
  • Context Dependency of Facial Expressions in Communications
    Shimohara, K
    Proc. of the SICE Annual Conference 2010, 2779 - 2782, 2010
  • Comic Live Chat: Communication Tool Based on Concept of Downgrading
    Shimohara, K
    Proc. of the SICE Annual Conference 2010, 2775 - 2778, 2010
  • Entrainment Between Speech and Gesture in Human-Robot Interaction
    Shimohara, K
    Proc. of the SICE Annual Conference 2010, 2769 - 2774, 2010
  • An entrainment of pointing gestures via robot motion
    Shimohara, K
    Int. Conf. on Social Robotics (ICSR2010), 372 - 381, 2010
  • XML-based genetic programming framework: design philosophy, implementation, and application
    Shimohara, K
    J. of Artificial Life and Robotics, 15(4)376 - 380, 2010
  • Brain activity in the resting state: default mode network as an inside story within the brain
    Shimohara, K
    J. of Artificial Life and Robotics, 15(1)1 - 4, 2010
  • Mutual entrainment: Implicit elicitation of human gestures by robot speech.
    Takamasa Iio, Masahiro Shiomi, Kazuhiko Shinozawa, Takaaki Akimoto, Katsunori Shimohara, Norihiro Hagita
    2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 18-22, 2010, Taipei, Taiwan, IEEE, 5294 - 5301, 2010
  • Design of an Evolutionary Agent for Lifelog-based Automatic Editing
    Shimohara, K
    Proc. of the 12th Int. Conf. on Humans and Computers (HC-2009), 95 - 99, 2009
  • Incremental Genetic Programming Incorporating Genetic Transposition for Efficient Coevolution of Locomotion and Sensing Snake-like Robot
    Shimohara, K
    2009Int. Conf. on Humanized Systems, 121 - 126, 2009
  • Design of Collision Avoidance Algorithm for the Driving Agent
    Shimohara, K
    2009 Int. Conf. on Humanized Systems, 17 - 20, 2009
  • Interactively Learned Probabilistic Context-sensitive Grammar in Genetic Programming for the Evolution of Snake-like Robot
    Shimohara, K
    ICROS-SICE International Joint Conf. 2009, 2732 - 2737, 2009
  • Personalized Adaptive Strategies in Human-PC Learning Game, Morizane
    Shimohara, K
    ICROS-SICE International Joint Conf. 2009, 2728 - 2731, 2009
  • Fitness Function for Evolutionary Systems to Predict Unknown Gene Regulatory Networks
    Shimohara, K
    ICROS-SICE International Joint Conf. 2009, 2722 - 2727, 2009
  • Dynamics of Relationship: For Goal-Oriented Control of Group Behavior
    Shimohara, K
    ICROS-SICE International Joint Conf. 2009, 1174 - 1177, 2009
  • Relationality Design Toward Enriched Communications
    Shimohara, K
    13th Int. Conf. on Human Computer Interaction (HCI2009), 492 - 500, 2009
  • Hypernetwork Model to Represent Similarity Details Applied to Musical Instrument Performance
    Shimoha, K
    13th Int. Conf. on Human Computer Interaction (HCI2009), 866 - 873, 2009
  • Linkage Between Real World and Virtual World as Relationality Design
    Shimohara, K
    8th Int. Workshop on Social Intelligence Design (SID2009), 266 - 276, 2009
  • An Automatic Design of the Driving Agent with the Functionality of Collision Avoidance with Another Car
    Shimohara, K
    8th Int. Workshop on Social Intelligence Design (SID2009), 21 - 32, 2009
  • Nature Inspired Design of Autonomous Driving Agent-Realtime Localization, Mapping and Avoidance of Obstacle Based on Motion Parallax
    Ivan Tanev, Katsunori Shimohara
    We present an approach for nature-inspired design of the driving style of an agent, remotely operating a scale model of a car with obstacle avoidance capabilities. The agent perceives the position of the car from an overhead video camera and conveys its actions to the car via standard radio control transmitter. In order to cope with the video feed latency we propose an anticipatory modeling in which the agent considers its current actions based on the anticipated intrinsic (rather than currently available, outdated) state of the car and its surrounding. Moreover, in a real-time the agent is able (i) to detect a static obstacle with a priori unknown coordinates using onboard video camera, (ii) to map the global position of the obstacle in a nature-inspired way by observing the dynamics of the change of visual angle (i.e., the motion parallax) of the obstacle in several consecutive video frames, and, (iii) in the vicinity of the latter, to employ a potential field-based obstacle avoidance maneuver. Presented work could be seen as a step towards the automated design of the control software of remotely operated vehicles capable to find a safe solution in changeable and uncertain environments., KNOWLEDGE-BASED AND INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT II, PROCEEDINGS, SPRINGER-VERLAG BERLIN, 5712752 - 760, 2009, English, Research paper (international conference proceedings)
  • Evolution of Active Sensing for Wall-following Navigation of Snake-like Robot
    Shimohara, K
    SICE Journal of Control, Measurement, and System Integration, 2(4)222 - 228, 2009
  • Designing Relationality
    Shimohara, K
    Proc. of 2008 Int. Conf. on Humanized Systems, 365 - 369, 2008
  • On the Possibility of Priority-Based Road Traffic Control
    Shimohara, K
    SICE Annual Conference 2008, 1510 - 1513, 2008
  • Evolutionary Adaptive Behavior in Noisy Multi-Agent System
    Shimohara, K
    SICE Annual Conference 2008, 1506 - 1509, 2008
  • Network simulations for relationality design - An approach toward complex systems
    Katsunori Shimohara
    We have been conducting research on how to design relationality in complex systems composed of intelligent tangible or intangible, artificial artifacts, by using evolutionary algorithms and network science as methodologies. In addition, we have developed a special machine called Network Simulator as a research tool to conduct massively parallel and ultra-high speed simulations oil relationality design. This paper describes the research concept of relationality design and network Simulations characterized by automatic hypothesis-finding and verification., KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 2, PROCEEDINGS, SPRINGER-VERLAG BERLIN, 5178434 - 441, 2008, English, Research paper (international conference proceedings)
  • Co-evolution of Sensing Morphology and Locomotion Control of Simulated Snakebot
    Shimohara, K
    SICE Annual Conference 2008, 1502 - 1505, 2008
  • Link prediction of complex networks from temporal quantity variation assigned to elements
    Shimohara, K
    SICE Annual Conference 2008, 1497 - 1501, 2008
  • Evolution of General Driving Rules of a Driving Agent
    Shimohara, K
    Proceedings of the 10th Int. Conf. on the Simulation of Adaptive Behavior (SAB’08), 488 - 498, 2008
  • Co-evolution of Active Sensing and Locomotion Gaits of Simulated Snake-like Robot
    Shimohara, K
    Annual Conference on Genetic and Evolutionary Computation (GECCO-2008), 257 - 264, 2008
  • On the Generality of the Evolved Driving Rules of an Agent Operating a Model of a Car
    Shimohara, K
    Proceedings of the 2008 IEEE World Congress on Computational Intelligence (WCCCI2008), IEEE Congress on Evolutionary Computation (CEC2008), 4139 - 4146, 2008
  • New Computing System Architecture for Simulation of Biological Signal Transduction Networks
    Shimohara, K
    Frontiers of Computational Science, Springer, 177 - 180, 2007
  • Emergent Behavior based on Disparity of Individual Capability
    Shimohara, K
    SICE Annual Conf. 2007, 1588 - 1592, 2007
  • Evolution of Human Competitive Driving Agent Operating a Scale Model for a Car
    Shimohara, K
    SICE Annual Conf. 2007, 1582 - 1587, 2007
  • An evolutionary system for the prediction of gen regulatory networks in biological cells
    Shimohara, K
    SICE Annual Conf. 2007, 1577 - 1581, 2007
  • Generative Genetic Representation of an Evolvable Driving Agent Operating a Model of a Car
    Shimohara, K
    Proc. of Int. Symp. on Humanized Systems 2007, 162 - 165, 2007
  • Efficient Partial Adaptive Evolution in Defective MAS --- Multi-Agent System with XGP ---
    Shimohara, K
    Proc. of Int. Symp. on Humanized Systems 2007, 158 - 161, 2007
  • Designing Relationality --- An Approach Toward Humanized Systems ---
    Shimohara, K
    Proceedings of International Symposium on Humanized Systems 2007, 2007
  • Towards Human Competitive Driving of Scale Model of a Car
    Shimohara, K
    SIGEVOlution, Volume 2, Issue 4, 14 - 26, 2007
  • Partially interacted phosphorylation/dephosphorylation trees extracted from signaling pathways in cells
    下原 勝憲
    J. Artificial Life and Robotics, 11(1)123 - 127, 2007
  • Emergent Design of a Control System for Cooperation between Robots
    SHIMOHARA, K
    Proc. 11th Int. Symposium on Artificial Life and Robotics (AROB'06), 550 - 553, 2006
  • On the Analogy in the Emergent Properties of Evolved Locomotion Gaits of Simulated Snakebot
    下原 勝憲
    "Mobile Robots, Moving Intelligence", Vedran Kordic,to appear in November, 2006, 559 - 578, 2006
  • Hyperheuristic Genetic Representation of Evolvable Human Relations Networks
    下原 勝憲
    Proceedings of the First World Congress on Social Simulation (WCSS'06) (to appear), 411 - 418, 2006
  • Evolution of Driving Agent, Remotely Operating a Scale Model of a Car with Obstacle Avoidance Capabilities
    下原 勝憲
    Proceedings of the 8th Conference on Genetic and Evolutionary Computation (GECCO-2006), 1785 - 1792, 2006
  • Exploring the Analogy in the Emergent Properties of Locomotion Gaits of Snakebot Adapted to Challenging Terrain and Partial Damage
    下原 勝憲
    J. of the Institute of Systems, Control, and Information Engineers (ISCIE), 19(6)220 - 232, 2006
  • Influence of Mutual Coordination of Interaction Patterns on Feeling of Agency
    下原 勝憲
    The 5th Int. Workshop of Social Intelligence Design 2006 (SID2006) Program & Proc., 131 - 138, 2006
  • A Bioinformatics Method for Signaling Pathways in Cells
    下原 勝憲
    Proc. Int. Symposium on Artificial Life and Robotics (AROB 11th '06), 484 - 487, 2006
  • Dual-structured Classifier System Mediating XCS and Gradient Descent based Update
    Wada, A, Takadama, K, Shimohara, K
    The 9th International Workshop on Learning Classifier Systems(IWLCS'06), CD - ROM, 2006, English, Research paper (international conference proceedings)
  • Community of Practice under Learning Classifier Systems
    Suematsu, Y.I.L, Takadama, K, Shimohara, K, Katai, O
    The 9th International Workshop on Learning Classifier Systems (IWLCS'06), CD - ROM, 2006, English, Research paper (international conference proceedings)
  • New Computing System Architecture for Scientific Simulations - Non CPU-oriented Methocology -
    SHIMOHARA, K
    Int. Symposium on Frontiers of Computational Science 2005, 2005
  • Ultra-fast Genome wide Simulation of Biological Signal Transduction Networks - Starpack -
    SHIMOHARA, K
    Int. Symposium on Frontiers of Computational Science 2005, 2005
  • Evolutionary Systems and Emergent Communications
    SHIMOHARA, K
    Int. Symposium on Frontiers of Computational Science 2005, 2005
  • Building Cognitive Developmental Systems
    SHIMOHARA, K
    Proc. 2005 Int. Symposium on Humanized Systems (ISHS'05), 189 - 195, 2005
  • Kinase Computing Based on Cellular Reconfigurable Pathways
    SHIMOHARA, K
    Proc. 2005 Int. Symposium on Humanized Systems (ISHS'05), 107 - 113, 2005
  • X-MAS: SUPPORTING THE TEDIOUS WORK OF VALIATION IN AGENT-BASED SIMULATION
    SHIMOHARA, K
    Proc. of the Agent 2005 Conf. on Generative Socil Processes, Models, and Mechanisms, 203 - 214, 2005
  • Sectionalism Index for Organizations; Analyzing Sectioned Random Network Multi-agent Model
    SHIMOHARA, K
    Agent 2003, Conference on Challenges in Social Simulation, 519 - 531, 2005
  • Towards Enrichment of Human Communications
    下原 勝憲
    Proc. 2005 Int. Symposium on Humanized Systems (ISHS'05), 30 - 33, 2005
  • Analyzing Strength-based Classifier System from Reinforcement Learning Perspective
    下原 勝憲
    Proc. 7th Int. Conf. on Artificial Evolution (EA'05), CD-ROM., 2005
  • Traffic Modeling in the Integrated Cellular Ad Hoc Network System
    下原 勝憲
    Proc. of SPIE on CD-ROM, Optics East 2005, Vol. 6011, pp.601107/1-601107/10., 2005
  • Evolution, Generality and Robustness of Emerged Social Behavior in Continuous Predators-prey Pursuit Problem
    下原 勝憲
    Genetic Programming and Evolvable Machines, 6(3)301 - 318, 2005
  • CARGO LAYOUT OPTIMIZATION IN SPACECRAFT: EXPLORING HEURISTICS FOR BRANCH-AND-BOUND METHOD
    下原 勝憲
    Proc. of the 8th Int. Sympo. on Artificial Intelligence, Robitics and Automation in Space - iSAIRAS, CD-ROM., 2005
  • Generation process of musical scales coordinated by humans
    下原 勝憲
    Proc. the Eighth Int. Conf. on Humans and Computers (HC-2005), 114 - 119, 2005
  • Improving the Conflicts on Mutliple Goals and Cnstraints Based TZBM
    下原 勝憲
    SICE Annual Conference 2005 in Okayama, 3260 - 3265, 2005
  • Three-zone Buffer Management and Its Applications to Equalizing Operations Problems
    下原 勝憲
    Proc. IML2005 Workshop on Intelligent Manufacturing & Logistics Systems (IML2005), 1 - 6, 2005
  • X-Mas: Validation Tool Based on Meta-Programming
    下原 勝憲
    Proc. The 4th Int. Workshop on Agent-based Approaches in Economic and Social Complex Systems (AESCS 2005), 385 - 396, 2005
  • Cooperation of Multi-agent System and Its Composition
    下原 勝憲
    Proc. 16th Triennial World Congress of the Int. Federation of Automatic Control, Selected Plenaries, Semi-Plenaries, Milestones and Surveys, CD-ROM., 2005
  • Evolving Driving Agent for Remote Control of Scaled Model of a Car
    下原 勝憲
    Genetic and Evolutionary Computation Conf. (GECCO 2005), CD-ROM., 2005
  • Counter Example for Q-bucket-brigade under Prediction Problem
    下原 勝憲
    Genetic and Evolutionary Computation Conf. (GECCO 2005) Workshop Proc., 8th Int. Workshop on Learning Classifier Systems (IWLCS 2005), 94 - 99, 2005
  • Learning Classifier System Equivalent with Reinforcement Learning with Function Approximation
    下原 勝憲
    Genetic and Evolutionary Computation Conf. (GECCO 2005) Workshop Proc., 8th Int. Workshop on Learning Classifier Systems (IWLCS 2005), 92 - 93, 2005
  • Implications of the Ability to Learn Simple Actions on the Efficiency of Evolution of Social Behavior of Agents
    下原 勝憲
    J. Artificial Life and Robotics, 9(1)58 - 62, 2005
  • Exploring XCS in Multiagent Environments
    下原 勝憲
    Genetic and Evolutionary Computation Conf., CD-ROM, 109 - 111, 2005
  • Proposal of Serially and Dynamically Separating Genetic Algorithm and its Application to Optimization of Robot Control Systems
    下原 勝憲
    Proc. Int. Symposium on Artificial Life and Robotics, CD-ROM., 2005
  • Multi-agent Learning Mechanism Based on Diversity of Rules: from the View Point of LCS
    下原 勝憲
    Proc. The 10th Int. Symposium on rtificial Life and Robotics (AROB 10th,2005), CD-ROM., 2005
  • Is Gradient Descent Method Effective for XCS? Analysis of Reinforcement Process in XCSG
    下原 勝憲
    7th Int. Workshop on Learning Classifier Systems (IWLCS-2004) GECCO 2004, CD-ROM., 2004
  • Evolutionary Systems as Artificial Life-Oriented Technologies
    下原 勝憲
    Proc. 2004 Sino-Japan Symposium on KANSAI & Artificial Life, 17 - 22, 2004
  • DCS: LEARNING CLASSIFIER SYSTEM WITH CONVERGENCE AND ACCURACY
    下原 勝憲
    The 5th Int. Conf. on Simulated Evolution And Learning (SEAL'04), CD-ROM., 2004
  • Modeling and Performance Evaluation of the Integrated Ad Hoc and Cellular Network Systems
    下原 勝憲
    Int. Sympo. on Information Theory and its Applications (ISITA2004), 463 - 467, 2004
  • Multi-Agent Oriented Distributed Computing Optimized by DS-GA
    下原 勝憲
    Joint 2nd Int. Conf. on Soft Computing and Intelligent Systems and 5th Int. Symposium on Advanced Interlligent Systems (SCIS & ISIS 2004), CD-ROM., 2004
  • On Scalable Bimolecular Computers Based on Crosstalked Phosphorylation and Dephosphorylation Pathways Regulated by Rho Family GTPases of Cells
    下原 勝憲
    Proc. 2004 Int. Conf. MEMS, NAN Smart Systems, Online Proc., 2004
  • Capabilities of Multiagent-based Cargo Layout System for H-II Transfer Vehicle
    下原 勝憲
    16th IFAC Symposium on Automatic Control in Aerospace, 1250 - 255, 2004
  • Learning Mechanisms applied to Agents in Cross-Cultural Simulation : Analysis from the view-point of Small World Network
    下原 勝憲
    3rd Int. Workshop on Agent-based Approaches in Economic and Social Complex Systems (AESCS'04), 169 - 176, 2004
  • On the Emergence of Social Behavior from Implicit, Proximity Defined Interactions in Predators-prey Pursuit Problem
    SHIMOHARA, K
    Proc. 48th Inst. of Systems, Control and Information Engineers, 639 - 640, 2004
  • Comparison between Q-Learning and ZCS Learning Classifier System: From aspect of function approximation
    SHIMOHARA, K
    Intelligent Autonomouns Systems 8 (IAS-8), 422 - 429, 2004
  • A Logical Method of Cell-based Molecular Computation Using the Pathways Regulated by Rho Family GTPases
    下原 勝憲
    Int. J. Artificial Life and Robotics, 8(1)62 - 66, 2004
  • Proposal of Dynamically Separating Learning Algorithm (DS-LA) : Optimization of Collective Performance in Networked Computers
    下原 勝憲
    J. Three Dimensional Images, 18(1)87 - 93, 2004
  • Interpretation by Implementation for Understanding a Multiagent Organization
    下原 勝憲
    Computational & Mathematical Organization Theory, 9(1)19 - 35, 2004
  • Evolution of biological concept network
    下原 勝憲
    Proc. 9th Int. Sympo. on Artificial Life and Robotics (AROB 9th '04), 1279 - 282, 2004
  • Dynamically Separating Learning Algorithm for Interactive Computers in Dynamic Environment: Optimization of collective performance in networked computers
    下原 勝憲
    Proc. 9th Int. Sympo. on Artificial Life and Robotics (AROB 9th '04), 1202 - 206, 2004
  • ATR Artificial Brain Project: Key Assumptions and Current State
    下原 勝憲
    Proc. 9th Int. Sympo. on Artificial Life and Robotics (AROB 9th '04), 1166 - 169, 2004
  • Implications of the Ability to Learn Simple Actions on the Efficiency of Evolution o Social Behavior of Agents
    下原 勝憲
    Proc. 9th Int. Symp. on Artifical Life and Robotics (AROB '9th 04), 153 - 56, 2004
  • Comparing Learning Classifier System and Reinforcement Learning with Function Approximation
    Wada, A, Takadama, K, Shimohara, K, Katai, O
    電気学会,論文誌C, 124(10)2034 - 2039, 2004, English, Research paper (scientific journal)
  • Towards Verificaiton and Validation in Multiagent-Based Systems and Simulations: Analyzing Different Learning Bargaining Agents
    SHIMOHARA, K
    The 2nd Int. Joint Conf. on Autonomous Agent & Multiagent Systems, 4th Int. Workshop on Multi-Agent-Based Simulation, 18 - 32, 2003
  • Psychodynamic Control
    SHIMOHARA, K
    Proc. Communication, Network and Control Systems, Technologies and Application:I, VII135 - 137, 2003
  • Diversity in Time Preferences and Fairness in Bargaining Games Played by Evolutionary Agents
    下原 勝憲
    Abstracts. 2nd Int. Conf. on Computataional Intelligence, Robotics and Autonomous Systems (CIRAS 2003), CD-ROM., 2003
  • An Index of Degrees of Confusion between Knowledge Acquired in a Learning Classifier System
    下原 勝憲
    Proc. 8th Int. Symposium on Artificial Life and Robotics (AROB 8th'03), 1181 - 184, 2003
  • Evolution of Cooperation with a Dynamically Separating Mechanism of Individuals
    下原 勝憲
    Proc. 8th Int. Symposium on Artificial Life and Robotics (AROB 8th'03), 1176 - 180, 2003
  • Computing with Rho Family GTPases: Operability and Feasibility
    下原 勝憲
    Proc. 8th Int. Symposium on Artificial Life and Robotics (AROB 8th'03), 1283 - 286, 2003
  • Artificial Mind: Theoretical Background and Research Directions
    下原 勝憲
    Proc. 8th Int. Symposium on Artificial Life and Robotics (AROB 8th'03), 1506 - 509, 2003
  • Graph Rewriting in Topology V: A Computation Model under Weak Conditions
    下原 勝憲
    Proc. THE SEVENTH SYMPOSIUM ON ALGEBRA, LANGUAGES AND COMPUTATION, 57 - 64, 2003
  • Cooperative Negotiation Strategy in Multi-agent Systems
    下原 勝憲
    Proc. Of the 42nd IEEE Conf. on Decision and Control, WeP01-5, 2549 - 2554, 2003
  • Exploring Conditions of Heterogeneous Knowledge for Effective Multi-Agent Systems
    下原 勝憲
    Proc. 2nd Int. Conf. on Comuputaional Intelligence, Robotics and Autonomous Systems (CIRAS2003), CD-ROM., 2003
  • Sectionalism Index for Organizations; Analyzing Sectioned Random Network Multi-agent Model, Agent 2003
    下原 勝憲
    Conference on Challenges in Social Simulation, 519 - 531, 2003
  • Cross-Element Validation in Multiagent-Based Simulations: Switching Learning Mechanisms in Agents
    下原 勝憲
    J. Artificial Societies and Social Simulation (JASSS), Vol.6, Issue.4. Online Proc., 2003
  • Dynamically Separating Learning Algorithm of interactive Computers(DS-LAic)
    下原 勝憲
    proc. 6th Int. Conf. on Humans and Computers(HC-2003), 182 - 187, 2003
  • Analyzing BARNGA Gaming Simulation Using an Agent-Based Model
    下原 勝憲
    Proc. 34th Annual Conf. of Int. Simulation and Gaming Association (ISAGA2003), 817 - 826, 2003
  • Biomolucular Computing by Encoding of Regulated Phosphorylation-Dephosphorylation and Logic of kinase-Phosphatase in Cells
    下原 勝憲
    Proc. 9th Int. Workshop on DNA Based Computers, 213 - 218, 2003
  • Sectioned Random-Network Agent Model Demonstrate Behavior Of "sectionalism"
    下原 勝憲
    Proc. Int. Workshop on Agent-Based Modeling in conjunction with the 17th annual conf. of Japanese Society for Artificial Intelligence, 2003, 55 - 66, 2003
  • Grounding to both Theory and Real World by Agent-Based Simulation: Analyzing Learning Agents in Bargaining Game
    下原 勝憲
    Proc. NAACSOS 2003, CD-ROM., 2003
  • Do Computational Models with Different Learning Mechanisms Produce the Same Results?
    下原 勝憲
    Int. Workshop M2M Model to Model, 5 - 15, 2003
  • Empathy Spatiality and Fairness in the Ultimatum Game
    下原 勝憲
    J. Three Dimensional Images, 16(4)214 - 219, 2002
  • Learning Classifier System Enabling Adaptation to Mixed Known Environments
    下原 勝憲
    J. Three Dimensional Images, 16(4)208 - 213, 2002
  • Dynamically Separating GA: ANew Method of Achieving the system-level Optimality in MAS
    下原 勝憲
    J. Three Dimensional Images, 16(4)177 - 183, 2002
  • Autonomous Symbol Acquisition through Agent Communication
    下原 勝憲
    Proc. 4th Asia-Pacific Conf. on Simulated Evolution And Learning (SEAL'02), 2786 - 790, 2002
  • Spatiality Enhances the Effect of Empathy and Empathy Induces Fairness in the Ultimatum Game
    下原 勝憲
    Proc. 5th Int. Conf. on Humans and Computers (HC-2002), 255 - 260, 2002
  • Dynamically Separating GA: A New Method of Gaining the Global Optimal Solution in MAS
    下原 勝憲
    Proc. 5th Int. Conf. on Human and Computer (HC-2002), 204 - 209, 2002
  • An evolvable proteomic computing method for robust artificial chemistry systems
    下原 勝憲
    Int. J. Artificial Life and Robotics, 6(3)126 - 128, 2002
  • Robustness in Organizational-Learning Oriented Classifier System
    下原 勝憲
    J. of Soft Computing: Special Issue on Learning Classifier System, 6(3)229 - 239, 2002
  • On fairness and learning agents in a bargaining model with uncertainty
    下原 勝憲
    Cognitive Systems Research, (3)555 - 578, 2002
  • Emerging Nano-organisms by Simulated Evolutionary Moleware: A Bridge at the Boundary of Artificial Life and Nano-Computing
    下原 勝憲
    J of Three Dimensional Images, 16(1)141 - 146, 2002
  • Electronic MEDIA with Traditional act of plaything extensions of a traditional playground
    下原 勝憲
    J. of Three Dimensional Images, 16(1)67 - 70, 2002
  • Adaptation to mixtures of known environments using an enhanced classifier system
    Shimohara,K
    Proc. 5th Int. Conf. on Humans and Computers (HC-2002), 2002
  • Interactive media art for Community workshop: toward to transform consumers into human of rich imagination
    SHIMOHARA,K
    Proc. 5th Int. Conf. on Humans and Computers (HC-2002), 253 - 254, 2002
  • MemeStorms--A Cellular Automaton for Pattern Recognition and Dynamic Fuzzy Calculus
    SHIMOHARA, K
    Proc. 7th Int. Symposium on Artificial Life and Robotics (AROB'02), 2528 - 531, 2002
  • Analyzing Levels of the Micro-Approach and its Implications in the Agent-Based Simulation
    Shimohara, K
    6th International Conference on Complex Systems 2002 (CS02), 44 - 51, 2002
  • Designing Social Force -- Control for Collective Behavior of Learning Individuals
    SHIMOHARA, K
    Proc. 6th Int. Conf. on Simulation of Adaptive Behavior (SAB '02), 393 - 394, 2002
  • THE X-MAS SYSTEM: Toward simulation systems for cross-validation in multiagent-based simulation
    SHIMOHARA,K
    Proc. 2nd Int. Workshop on Agent-based Approaches in Economic and Social Complex Systems (AESCS'02), 31 - 38, 2002
  • Cross-Validation in Multiagent-based Simulation: Analyzing Evolutionary Bargaining Agents
    SHIMOHARA, K
    Proc. 2002 Genetic and Evolutionary Computation Conf. (GECCO2002), 121 - 128, 2002
  • Analysis of small-world networks with high broadcast speed
    下原 勝憲
    Int. J. Artificial Life and Robotics, 6(4)163 - 166, 2002
  • Graph Rewriting in Topology I: Operatos and the Grammar
    SHIMOHARA, K
    Proc. Tech. Rep. of Jap. Soc. for Artificial Intelligence, SIG-FAI-A101, 21 - 26, 2001
  • Artificial life based on the programmed self-decomposition model, SIVA
    下原 勝憲
    J. Artificial Life and Robotics, 5(2)77 - 87, 2001
  • An Interaction Design based on Self-Awareness toward Emergent Communication
    下原 勝憲
    J. of Three Dimensional Images, 15(1)191 - 196, 2001
  • Traditional of playing with electronic media extending a human's sensitivity
    SHIMOHARA,K
    Proc. Int. Sympo.: Towards a Development of KANSEI Technology (KANSEI 2001), 189 - 190, 2001
  • Graph Rewriting in Topology II: Computability
    SHIMOHARA, K
    Proc. 5th Symposium on Algebra, Languages and Computation, 63 - 68, 2001
  • KANSEI-IN A PSYCHODYNAMIC AGENT
    SHIMOHARA, K
    Proc. Int. Sympo. : Towards a Development of KANSEI Technology (KANSEI 2001), 177 - 179, 2001
  • Emergent Communication Mechanisms as KANSEI Technologies
    SHIMOHARA, K
    Proc. Int. Sypo.: Towards a Development of KANSEI Technology (KANSEI 2001), 55 - 58, 2001
  • Equilibrium Selection in a Sequential Multi-issue Bargaining Model Using Evolutionary Algorithms: A Preliminary Study
    SHIMOHARA, K
    Proc. Genetic and Evolutionary Computation Conference (GECCO-2001), 2001
  • Constructing Robust Operators in Heteronomous Graph Rewriting Systems
    SHIMOHARA, K
    Program and Abstracts of Workshop on Designs, Codes, Graphs and their Links II, 2001
  • Pathway Graph Models for Molecular Computing in situ
    SHIMOHARA, K
    Workshops at RIMS, Algebraic Semigroups, Formal Languages and Computation, (1222)128 - 137, 2001
  • MemeStorms: Cellular Working Memory and Dynamics of Judgment
    SHIMOHARA, K
    Proc. 6th Int. Symposium on Artificial Life and Robotics (AROB'01), 1146 - 149, 2001
  • Analysis of Small-World Networks with High Broadcast Speed
    SHIMOHARA, K
    Proc. 6th Int. Symposium on Artificial Life and Robotics (AROB'01), 127 - 30, 2001
  • A Novel Class of Super-Turing Machines and their Robustness Analysis
    SHIMOHARA, K
    Proc. 6th Int. Symposium on Artificial Life and Robotics (AROB'01), 2397 - 400, 2001
  • Equilibrium Selection in a Sequential Multi-issue Bargaining Model with Evolutionary Agents
    SHIMOHARA,K
    Proc. Second Asia-Pacific Conf. on Intelligent Agent Technology (IAT-2001), 190 - 199, 2001
  • A Molecular Computational Prototype with 10 Quadrillion Molecules: Simulations and the Steps Beyond
    SHIMOHARA, K
    Proc. 2001 Int. Symposium on Nonlinear Theory and its Applications (NOLTA 2001), 2693 - 696, 2001
  • Emerging Nano-Organisms by Simulated Evolutionary Moleware: A Bridge at the Boundary of Artificial Life and Nano-Computing
    SHIMOHARA, K
    Proc. 4th Int. Conf. on Human and Computer (HC-2001), 168 - 173, 2001
  • Does Diversity Lead to Morality? On the Evolution of Strategies in a 3-Agent Alternating-Offers Bargaining Model
    SHIMOHARA, K
    Workshop Program of Genetic and Evolutionary Computation Conference (GECCO-2001), .317-320 , 2001
  • On the Effect of Evolutionary Agents Learning Parameters in an Alternating-Offers Bargaining Model
    SHIMOHARA,K
    Workshop on Economic Agents, Models, and Mechanisms, IJICAI-2001 Workshop Program, 22 - 31, 2001
  • Evolution of New Tissues through Gene Duplication and Divergence in Multithreaded Digital Organisms
    SHIMOHARA, K
    Proc. 2001 IEEE Int. Conf. on Multimedia and Expo (ICME 2001), 209 - 212, 2001
  • Audio-visually aided interactive sandbox: Extensions of a traditional playground
    SHIMOHARA,K
    Proc. 2001 IEEE Int. Conf. on Multimedia and Expo. (ICME2001), 225 - 228, 2001
  • On Fairness in an Alternating-Offers Bargaining Model with Evolutionary Agents
    SHIMOHARA, K
    "Intelligent Agents: Specification, Modeling, and Applications", Springer, 63 - 77, 2001
  • Computational Analysis of Brand Marketing
    TAKADAMA,K, TSUJINAKA, N
    Computational Analysis of Social and Organizational System 2001 (CASOS2001), 38 - 40, 2001
  • Toward Cumulative Progress in Agent-Based Simulation
    SHIMOHARA, K
    "New Frontiers in Artificial Intelligence", Springer, 99 - 109, 2001
  • What kinds of Properties Determine Characteristics of Multiple Learning Agents? --Implications from goal and evaluation in agents--
    SHIMOHARA, K
    Proc. 5th Int. Conf. on Autonomous Agents, W12: Autonomy-Oriented Computation, 21 - 30, 2001
  • Agent architecture based on an interactive self-reflection classifier system
    SHIMOHARA, K
    J. Artificial Life and Robotics, 5(2)103 - 108, 2001
  • Interactive self-refliction and its architecture based on cellular automata
    SHIMOHARA, K
    J. Artificial Life and Robotics, 5(2)97 - 102, 2001
  • On the dynamics of judgment: does the butterfly effect take place in human working memory?
    SHIMOHARA, K
    J. Artificial Life and Robotics, 5(2)88 - 92, 2001
  • An Analysis of Two-Parent Recombinations for Real-Valued Chroosomes in an Infinite Population
    SHIMOHARA, K
    Evolutionary Computaion, 9(3)283 - 308, 2001
  • Which Organizational Knowledge is Useful: Rare, Medium, or Well-done? - Comparison of Different Levels of Organizational Knowledge in Multiagent Environments-
    SHIMOHARA, K
    Proc. 3rd Asia-Pacific Conf. on Simulated Evolution and Learning (SEAL'2000), 2891 - 2896, 2000
  • Insight into reality through the creation of computer animation based on the Noh drama "Yuku"
    下原 勝憲
    J. of Three Dimensional Images, 14(4)188 - 193, 2000
  • Knowlegde Infrastructure for Bio-informatics based on Homogenized Bipartite Model
    下原 勝憲
    Int. Forum on Information and Documentation, 25(1)1 - 18, 2000
  • Learning and Relocation Capability of CAM-Brain Machine
    下原 勝憲
    Int. J. Artificial Life and Robotics, 3(4)213 - 216, 2000
  • On Mixed-level Hardware Evolutionary System
    下原 勝憲
    Int. J. Artificial Life and Robotics, 3(4)209 - 212, 2000
  • DNA Computing -A Novel Paradigm of Artificial Life in vitro
    下原 勝憲
    Proc. 5th Int. Symposium on Artificial Life and Robotics. (AROB 5th '00), 2777 - 780, 2000
  • How to Autonomously Decide Boundary between Self and Others?
    SHIMOHARA, K
    Proc. 3rd Asia-Pacific Conf. on Simulated Evolution and Learning (SEAL'2000), 2903 - 2908, 2000
  • On the evolution of interaction rules in a canonical auction market with simple bidding agents
    SHIMOHARA, K
    Proc. 3rd Asia-Pacific Conf. on Simulated Evolution and Learning (SEAL'2000), 2897 - 2902, 2000
  • Humanization of Computer with "KANSEI" Technology
    SHIMOHARA, K
    J. of Three Dimensional Images, 14(4)76 - 79, 2000
  • Fine Grained Molecular Computers Based on Molecular Electronics
    SHIMOHARA, K
    J. of Three Dimensional Images, 14(4)194 - 199, 2000
  • An Interaction Design Based on Self-Awareness Toward Emergent Communication
    SHIMOHARA,K
    Proc. Third Int. Conf. on Human and Computer (HC-2000), 176 - 179, 2000
  • Insight into Reality through the Creation of Computer Animation based on the Noh Drama "Yuki"
    SHIMOHARA, K
    Proc. Third Int. Conf. on Human and Computer (HC-2000), 301 - 306, 2000
  • Social Judgment and Butterfly Effect
    SHIMOHARA, K
    Int. J. of Psychology, Vol.35, No. 3/4, Abstract of XXVII Int. Congress of Psychology, 35(3), 2000
  • DNA Computing by Genomic Dynamics II: -A Simulation Wetware Prototype of Dynamical DNA Computation
    SHIMOHARA, K
    Proc. 5th Int. Symposium on Artificial Life and Robotics (AROB'00), 2785 - 788, 2000
  • DNA Computing by Genomic Dynamics I: --Evolutionary Modeling of Emergence and Context--Sensible Grammar Representation
    SHIMOHARA, K
    Proc. 5th Int. Symposium on Artificial Life and Robotics (AROB'00), 2781 - 784, 2000
  • Interactive Self-Reflection Architecture Using Cellular Automata
    SHIMOHARA, K
    Proc. 5th Int. Symposium on Artificial Life and Robotics (AROB'00), 2458 - 461, 2000
  • Agent Architecture Based on Self-Reflection Learning Classifier System
    SHIMOHARA, K
    Proc. 5th Int. Symposium on Artificial Life and Robotics (AROB'00), 2454 - 457, 2000
  • On The Efficiency of a Decentralized Continuous Double Auction Market of Locally Aware Agents - Bridging The Gap Between Economics and Interactive Self-Reflection
    SHIMOHARA, K
    roc. 5th Int. Symposium on Artificial Life and Robotics (AROB'00), 2446 - 449, 2000
  • Interactive Self-Reflection Model for Communications
    SHIMOHARA, K
    Proc. 5th Int. Symposium on Artificial Life and Robotics (AROB'00), 2438 - 441, 2000
  • Interactive Self-Reflection Model: Aim and Overview
    SHIMOHARA, K
    Proc. 5th Int. Symposium on Artificial Life and Robotics (AROB'00), 2430 - 433, 2000
  • Does The Butterfly Effect Take Place in Human Working Memory?
    SHIMOHARA, K
    Proc. 5th Int. Symposium on Artificial Life and Robotics (AROB'00), 1204 - 207, 2000
  • Multi-Agent Based Neural Network as A Dynamical Brain Model
    SHIMOHARA, K
    Proc. 5th Int. Symposium on Artificial Life and Robotics (AROB'00), 1200 - 203, 2000
  • An Interactive mechanism for CAM-Brain
    SHIMOHARA, K
    Proc. 5th Int. Symposium on Artificial Life and Robotics (AROB'00), 1196 - 199, 2000
  • CoDi Technique: Cellular Automata as Neural Networks
    SHIMOHARA, K
    Proc. 5th Int. Symposium on Artificial Life and Robotics (AROB'00), 1192 - 195, 2000
  • Proposal of a General Simulator“SIVA”for Heterogeneous Environment and Self-Decomposable ALife
    SHIMOHARA, K
    Proc. 5th Int. Symposium on Artificial Life and Robotics (AROB'00), 145 - 49, 2000
  • Evolutionary Advantage of Self-Decomposition Mechanism
    SHIMOHARA, K
    Proc. 5th Int. Symposium on Artificial Life and Robotics (AROB'00), 140 - 44, 2000
  • Diffusible Immortal ALife Rarely Exterminate Diffusible Mortal ALife in One Finite, Heterogeneous Ecosystem
    SHIMOHARA, K
    Proc. 5th Int. Symposium on Artificial Life and Robotics (AROB'00), 134 - 39, 2000
  • The Proposal of an Interaction Design based on Self-Awareness: Toward the Reformation of Self-Realization
    SHIMOHARA,K
    Proc. Tenth International Conference on Artificial Reality and Tele-existence (ICAT2000), 246 - 249, 2000
  • Designing Multiple Agents using Learning Classifier Systems --Suggestions from Three Levels Analyses--
    SHIMOHARA, K
    4th Japan-Australia Joint Workshop on Intelligent and Evolutionary Systems (JA'2000), 293 - 300, 2000
  • On The Effect of Stock Alerts in An Agent-Based Model of A Financial Market
    SHIMOHARA, K
    Proc. 7th Int. Conf. on Artificial Life, 368 - 371, 2000
  • Interpretation by Implementation for Understanding Multiagent Organization
    SHIMOHARA, K
    Computational Analysis of Social and Organizational Systems, Herb Simon Keynote, CASOS Conference 2000, 157 - 160, 2000
  • Can Multiple Learning Agents Implement Responsiveness, Conflict Resolution, and Collaboration Between Autonomous Scheduling Systems and Human Operators?
    SHIMOHARA, K
    Proc. the 2nd NASA Int. Workshop on Planning and Scheduling for Space, 155 - 160, 2000
  • Role of Individual Evaluation in Multiagent Organization
    SHIMOHARA, K
    4th Annual Conf. of Japan Association for Evolutionary Economics, 162 - 165, 2000
  • Making Organizational Learning Operational: Implication from Learning Classifier System
    下原 勝憲
    Computational and Mathematical Organization Theory, 5(3)229 - 252, 1999
  • Decision Making as A Debate in The Society of Memes in A Neural Working Memory
    下原 勝憲
    J. Three Dimensional Images, 13(3)77 - 82, 1999
  • Evolutionary Design of Analog Electrical Circuits using Genetic Programming
    下原 勝憲
    J. Three Dimensional Images, 13(3)89 - 94, 1999
  • Progressive Evolution Model and its Dynamics
    下原 勝憲
    J. Three Dimensional Image, 13(3)83 - 88, 1999
  • Progressive Evolution Model using a Hardware Evolution System
    下原 勝憲
    Int. J. Artificial Life and Robotics, 2(4)157 - 161, 1999
  • Enhanced Resonance by Coupling and Summing in Sinusoidlly Driven Chaotic Neural Networks
    下原 勝憲
    IEICE Fundamental, Vol.82-A, No.4, 648 - 657, 1999
  • Learning Model for Adaptive Behaviors as an Organized Group of Swarm Robots
    下原 勝憲
    Int. J. Artificial Life and Robotics, 2(3)123 - 128, 1999
  • Can Multiagents Learn in Organization? --Analyzing Organizational Learning Oriented Classifier System--
    SHIMOHARA, K
    Workshop on Agents Learning About, From and With Other Agents, 16th Int. Joint Conf. on Artificial Intelligence (IJCAI'99), 1999
  • Evolutionary Systems for Brain Communications
    SHIMOHARA, K
    Proc. Notebook for Int. Symposium on Low-Power and High-Speed Chips (COOL Chips II), 37 - 50, 1999
  • Toward Emergent Intelligence in Multiagent Learning
    SHIMOHARA, K
    Proc. 4th Int. Symposium on Artificial Life and Robotics (AROB'99), 464 - 467, 1999
  • How to Design Good Rules for Multiple Learning Agents in Scheduling Problems?
    SHIMOHARA, K
    Lecture Notes in Artificial Intelligence, 1733, 2nd Pacific Rim Int. Workshop on Multi-Agents (PRIMA'99), 126 - 140, 1999
  • An improved method for reducing the forgetfulness in incremental learning
    SHIMOHARA, K
    Proc. 1999 IEEE Int. Conf. on Systems, Man, and Cybernetics (SMC'99), IV1068 - 1073, 1999
  • Agent-Based Model Toward Organizational Computing: From Organizational Learning of Genetics-Based Machine Learning
    SHIMOHARA, K
    Proc. 1999 IEEE Int. Conf. on Systems, Man, and Cybernetics (SMC'99), II604 - 609, 1999
  • Heterogeneity Enhanced Order in a Chaotic Neural Network
    SHIMOHARA, K
    European Symposium on Artificial Neural Network '99 (ESANN99), 147 - 152, 1999
  • A Description of Quasi-Autopoietic Systems based on the Framework of (M, R) Systems
    SHIMOHARA, K
    Proc. 3rd Int. Symposium on Artificial Life and Robotics (AROB'98), 2658 - 661, 1998
  • Organizational Knowledge on Formation in Multiple Robots Learning
    SHIMOHARA, K
    Proc. 3rd Int. Symposium on Artificial Life and Robotics (AROB'98), 2397 - 401, 1998
  • Reinforcement Learning for Multiple Robots with Organizational Learning
    SHIMOHARA, K
    Proc. 3rd Int. Symposium on Artificial Life and Robotics (AROB'98), 1392 - 396, 1998
  • Learning and Relocation Capability of CAM-Brain Machine
    SHIMOHARA, K
    Proc. 3rd Int. Symposium on Artificial Life and Robotics (AROB'98), 1267 - 270, 1998
  • On Mixed-level Hardware Evolutionary System, Artificial Life and Robotics
    SHIMOHARA, K
    Proc. 3rd Int. Symposium on Artificial Life and Robotics (AROB'98), 1196 - 199, 1998
  • Hardware Evolution --A Real “Life on the Silicon”
    SHIMOHARA, K
    Int. J. Artificial Life and Robotics, 1(4)191 - 195, 1998
  • Grammatical Development of Evolutionary Modular Neural Networks
    SHIMOHARA, K
    Lecture Notes in Artificial Intelligence, 1585, Proc. Asia-Pacific Conf. on Simulated Evolution and Learning (SEAL 98), 413 - 420, 1998
  • Applying L-System to Development of Evolutionary Modular Neural Networks
    SHIMOHARA, K
    Proc. Asia-Pacific Conf. on Simulated Evolution and Learning (SEAL 98), Vol.2, Session 22, Evolving Neural Networks, 1998
  • Generating Seamless Texture using Genetic Information
    SHIMOHARA, K
    Signal and Image Processing '98 (SIP'98), 22 - 26, 1998
  • Cooperative Behavior in Evolved Modular Neural Networks, Methodologies for the Conception, Design and Application of Soft Computing
    SHIMOHARA, K
    Proc. 5th Int. Conf. on Soft Computing and Information /Intelligent Systems (IIZUKA '98), 2606 - 609, 1998
  • Autonomous Graphics Generation System for Supporting Human Self-Expression
    SHIMOHARA, K
    7th IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design and Evaluation of Man-Machine Systems, 473 - 478, 1998
  • Comparison of Evolutionary Methods for Smoothing Evolution
    SHIMOHARA, K
    Lecture Notes in Computer Science, 1478, Evolvable Systems: From Biology to Hardware, Second Int. Conf. on Evolvable Systems (ICES'98), 115 - 124, 1998
  • A Troubleshooting Mechanism based on an Organizational Learning Model for Multiple Robots
    SHIMOHARA, K
    Proc. 1998 Int. Technical Conf. on Circuits/Systems, Computers and Communications (ITC-CSCC '98), II1023 - 1026, 1998
  • Fault Tolerance in Organizational based on an Organizational Learning Model
    SHIMOHARA, K
    Proc. 1998 IEEE Int. Conf. on Systems, Man, and Cybernetics (SMC '98), 2261 - 2266, 1998
  • Ordering in the Mean Field of a Chaotic Neural Network with Quenched Disorder
    SHIMOHARA, K
    Proc. 1998 Int. Symposium on Nonlinear Theory and its Applications (NOLTA '98), 707 - 710, 1998
  • Resonance in Chaotic Neural Networks Driven by a Weak Sinusoid
    SHIMOHARA, K
    Int. Joint Conf. on Neural Network '98, 2551 - 2556, 1998
  • Progressive Evolution Model using a Hardware Evolution System
    SHIMOHARA, K
    Proc. Int. Symposium on Artificial Life and Robotics (AROB'97), 18 - 21, 1997
  • Numerical Study of Resonance in a Sinusoidally Driven Chaotic Neuron Model and Its Network
    SHIMOHARA, K
    Proc. Int. Symposium on Artificial Life and Robotics (AROB'97), 131 - 135, 1997
  • Learning Model for Adaptive Behaviors as an Organized Group of Swarm Robots
    SHIMOHARA, K
    Proc. Int. Symposium on Artificial Life and Robotics (AROB'97), 103 - 106, 1997
  • Resonance in a Global Coupling Chaotic Neural Network Driven by a Weak Sinusoid
    SHIMOHARA, K
    Int. Conf. on Neural Information Processing (ICONIP'97), 1178 - 181, 1997
  • A Method for Reducing Forgetfulness of Incremental Learning
    SHIMOHARA, K
    Int. Conf. on Neural Information Processing (ICONIP '97), 1296 - 299, 1997
  • Synthesis of Developmental and Evolutionary Modeling of Adaptive Autonomous Agents
    SHIMOHARA, K
    Proc. 7th Int. Conf. on Artificial Neural Networks, 721 - 726, 1997
  • Synthesis of Environment Directed and Genetic Growth
    SHIMOHARA, K
    Proc. 5th Interdisciplinary Workshop on the Synthesis and Simulation of Living Systems, 244 - 251, 1997
  • Evolving Large Scale Digital Circuits
    SHIMOHARA, K
    Proc. 5th Interdisciplinary Workshop on the Synthesis and Simulation of Living Systems, 213 - 218, 1997
  • Behavior Generation based on Enhanced DLA Model on Neural Network
    SHIMOHARA, K
    Proc. First Asia-Pacific Conf. on Simulated Evolution and Learning (SEAL'96), 454 - 461, 1996
  • Development of Modular Neural Networks by Evolutionary Algorithm
    SHIMOHARA, K
    Proc. Int. Conf. Neural Networks (ICNN'96), 149 - 152, 1996
  • Evolutionary Systems for Brain Communications --Towards an Artificial Brain, Artificial Life IV
    下原 勝憲
    Proc. 4th Int. Workshop on the Synthesis and Simulation of Living Systems, 3 - 7, 1994
  • Development and Evolution of Hardware Behaviors, Artificial Life IV
    SHIMOHARA, K
    Proc. 4th Int. Workshop on the Synthesis and Simulation of Living Systems, 371 - 376, 1994
  • Production Genetic Algorithms for Automated Hardware Design through an Evolutionary Process
    SHIMOHARA, K
    Proc. 1st IEEE Conf. on Evolutionary Computation (ICEC'94), II661 - 664, 1994
  • Hardware Evolution —An HDL Approach
    SHIMOHARA, K
    Proc. 1994 Japan-U.S.A. Symposium on Flexible Automation, 1285 - 1288, 1994
  • EMG pattern recognition by neural networks for Prosthetic Fingers Control
    SHIMOHARA, K
    Proc. 1992 IFAC/IFIP/IMACS Int. Symposium on Artificial Intelligence in Real-Time Control, 413 - 419, 1992
  • EMG Pattern Analysis and Classification by Neural Networks
    SHIMOHARA, K
    IEEE Int. Conf. on Systems, Man and Cybernetics, 1113 - 1115, 1989
  • EEG Topography Recognition by Neural Networks
    SHIMOHARA, K
    IEEE Int. Conf. on Systems, Man and Cybernetics, 1116 - 1117, 1989
  • A Modified Leaky Integrator Network for Temporal Pattern Processing
    SHIMOHARA, T
    Int. Joint Conf. on Neural Networks, I469 - 475, 1989
  • Back-Propagation Networks for Temporal Sequence Processing
    下原 勝憲
    IEEE Int. Conf. on Neural Networks '88, I665 - 672, 1988
  • A Neural Network System with an Automatic Generation Mechanism for Distorted Patterns
    SHIMOHARA, K
    International Neural Network Society (INNS'88), 1988
  • Boltzmann Machines In Which Weights Converge To Global Optimal Solution
    SHIMOHARA, K
    IEEE Int. Conf. on Neural Networks '88, I, 1988
  • Modified Voice Telecommunications and Their Protocol Models
    下原 勝憲
    IEEE Int. Conf. on Communications, 1274 - 1279, 1986
  • A New Telecommunications System with Modified Voice
    SHIMOHARA, K
    Symposium on Subscriber Loops and Services (ISSLS'86), II-2117 - 122, 1986
  • Graph Rewriting in Topology IV : Rewriting Based on Algebraic Operators
    SHIMOHARA, K
    Algorithms in Algebraic systems and Computation Theory, Kokyuroku 1268 of RIMS, Kyoto Univ., 64 - 72
  • Method to analyze a local community as a complex adaptive system for resident-centered local community vitalization
    Koya Kimura, Yurika Shiozu, Kosuke Ogita, Ivan Tanev, Katsunori Shimohara
    © 2018, ISAROB. A community is a system that cannot exist without the involvement of self-motivated people, and it is composed of humans, “Mono,” “Koto”, and their relationality. “Mono” in Japanese denotes a physically perceived entity (tangible), while “Koto” denotes a cognitively conceived entity (intangible). In other words, a local community is a typical example of a complex adaptive system, and it can be simulated by a suitable model such as multi-agent systems approach; this implies that it is possible to develop a local community as a complex adaptive system using appropriate design and analysis. In this paper, we investigated the methods to analyze a local community. We visualized the day-wise relationships among the experimental participants using the passing-each-other data collected from them. As a result, we confirmed that each participant formed clusters that varied day-wise. We could also confirm several features which helped establish that a local community is a complex adaptive system. Furthermore, the results were strikingly different for a weekday compared to a holiday., Artificial Life and Robotics, SPRINGER, 24(2)225 - 229, 14 Jun. 2019, English, Research paper (scientific journal)
  • Platform for Promoting Behavior Change of Residents towards Resident-Centered Local Community Vitalization
    Koya Kimura, Yurika Shiozu, Ryo Shioya, Ivan Tanev, Katsunori Shimohara
    © 2018 IEEE. This research aims to realize a resident-centered community vitalization by utilizing information and communication technology (ICT). Prior research has mainly focused on collecting and analyzing data sent unconsciously by the residents themselves, including location information and passing-eachother data. However, in the process of analysis, we preliminarily observed that a behavioral change of sharing the information voluntarily promotes a resident-centered local community vitalization, rather than solving individual residents' local community challenges by analyzing data. Therefore, in this paper, we discuss a platform for promoting behavior change of residents towards resident-centered local community vitalization, by sharing and visualizing the information that they voluntarily send., Proceedings - 2018 5th Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2018, 1 - 3, Dec. 2018, Research paper (international conference proceedings)
  • Self-identification of Mental State and Self-control through Indirect Biofeedback - Indirect Representation and Placebo Effect
    Madoka Takahara, Jilin Huang, Ivan Taney, Katsunori Shimohara
    This paper describes a possible new scheme for a user with mental health problems to identify his/her own mental state and control it. For that purpose, we propose an indirect biofeedback system which represents physiological information with color and shape, and enables the user to grasp his/her inner state and to proactively change and control it through methods of breathing. Those methods facilitate the user to self-control the autonomic nervous system. Here, we discuss indirect representation and placebo effect., PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON ARTIFICIAL LIFE AND ROBOTICS (ICAROB 2016), ALIFE ROBOTICS CO, LTD, 76 - 79, 2016, English, Research paper (international conference proceedings)
  • Visualization of Relationship between Residents Using Passing-each-other Data Toward Resident-centered Vitalization of Local Community
    Koya Kimura, Yurika Shiozuy, Ivan Tanev, Katsunori Shimohara
    We are aiming to achieve resident-centered vitalization of a local community utilizing ICT (Information Communication Technology). Relationship between residents in a local community should be one of social assets, and how to make use of the relationship is significant to vitalization of a local community. If residents can be aware of their invisible relationship that they are usually unconscious, and if they understand its importance, they could vitalize their community through sustaining and promoting it? That is the concept of resident-centered vitalization of a local community. In this paper, we propose a method of relationship visualization of residents using their passing-each-other data acquired through Bluetooth in smartphones. The number and frequency of passing-each-other between individual residents are analyzed, normalized and represented as a graph. Through users' evaluation, we could confirm that the proposed representation with graph is adequate as a tool to visualize the relation between residents in a local community., SECOND INTERNATIONAL CONFERENCE ON ELECTRONICS AND SOFTWARE SCIENCE (ICESS2016), SOC DIGITAL INFORMATION & WIRELESS COMMUNICATIONS, 122 - 127, 2016, English, Research paper (international conference proceedings)
  • Emergence of Collective Escaping Strategies of Empathic Caribou Agents in Wolf-caribou Predator-prey Problem
    FangWei Huang, Ivan Tanev, Kastunori Shimohara
    We investigate an approach of applying Genetic Programming for evolution of optimal escaping strategies of a team of caribou agents in the wolf-caribou predator prey problem (WCPPP). The considered case of WCPPP comprises a team of eight caribou agents that attempts to escape from a single yet superior (in terms of sensory abilities, raw speed, and energy) wolf agent in a simulated two-dimensional infinite toroidal world. We empirically verified our hypothesis that the incorporation of empathy in caribou agents significantly improves both the efficiency of evolution of the escaping behavior and the effectiveness of such a behavior. This finding could be seen as a verification of the survival value of empathy and the resulting compassionate behavior of the escaping caribou agents. Moreover, considering the fact that a single caribou could never escape from the superior wolf, the ability of the team of empathic caribou agents to escape could also be viewed as an illustration of the emergent nature of successful escaping behavior in that the team-level properties are more than a mere sum of the properties of its individual entities., SECOND INTERNATIONAL CONFERENCE ON ELECTRONICS AND SOFTWARE SCIENCE (ICESS2016), SOC DIGITAL INFORMATION & WIRELESS COMMUNICATIONS, 104 - 111, 2016, English, Research paper (international conference proceedings)
  • Automatic Classification of Driving Conditions for the Detection of Driver-Induced Steering Oscillation
    Dipak G. Sharma, Ivan Tanev, Katsunori Shimohara
    We proposed an approach of automatically identifying two different driving conditions - driving on a straight, and cornering, respectively, by a cognitively distracted human driver in TORCS environment. The cognitive distraction of the driver results in driver- induced steering oscillations. In order to detect these steering oscillations - e. g., by analysing the magnitude of power spectra of lateral acceleration - it is crucial to automatically distinguish the driving condition so that variable threshold - corresponding to these different driving conditions - could be applied. Our experimental results indicate that a specific low pass filter implemented as a sliding window averaging on the discrete sampled values of lateral acceleration identifies the driving conditions adequately., SECOND INTERNATIONAL CONFERENCE ON ELECTRONICS AND SOFTWARE SCIENCE (ICESS2016), SOC DIGITAL INFORMATION & WIRELESS COMMUNICATIONS, 88 - 95, 2016, English, Research paper (international conference proceedings)
  • Mutual Acceptance by Sharing Information through Indirect Biofeedback
    Madoka Takahara, Fangwei Huang, Satoko Yoshida, Ivan Tanev, Katsunori Shimohara
    This paper proposes a model of mutual acceptance between a patient, his/her family members, and medical staff by sharing information through indirect biofeedback. In Japan, an upcoming socalled super-aging society, it has become a serious problem how to achieve effective and high-quality care support for aged persons. Here we focus on a psychological aspect of this problem and suggest a possible way to tackle it. We propose that an elderly patient, his/her family members, and medical staff could deepen their mutual understanding and mutual acceptance by sharing indirect biofeedback information of the patient. This paper describes and discusses two aspects: indirect biofeedback of a user's sleep state based on analysis and measurement of his/her sleep data; and sharing information through indirect biofeedback using a plant-type indicator, which can be tested in an experiment., SECOND INTERNATIONAL CONFERENCE ON ELECTRONICS AND SOFTWARE SCIENCE (ICESS2016), SOC DIGITAL INFORMATION & WIRELESS COMMUNICATIONS, 13 - 18, 2016, English, Research paper (international conference proceedings)
  • Lexical Entrainment in Human Robot Interaction
    Takamasa Iio, Masahiro Shiomi, Kazuhiko Shinozawa, Katsunori Shimohara, Mitsunori Miki, Norihiro Hagita
    This paper reveals that lexical entrainment, in which a person tends to change her verbal expressions to match those said by her addressee, occurs in interactions between people and a robot when they refer to an object in a shared physical space. Many studies argue that lexical entrainment is crucial for understanding the principle of human dialogue and the development of the natural language interfaces of artificial media. However, few studies of it exist in human robot interaction in which humans and robot share a physical space. If lexical entrainment occurs in situations where a physical space is shared with a robot, such findings will contribute to the development of natural language interfaces with social robots. We designed experimental tests in which participants refer to an object and a robot confirms it and measured the extent to which the participants repeated the same verbal expressions said by the robot. Our subjects tended to adopt both the same verbal expressions and lexical categories as the robot., INTERNATIONAL JOURNAL OF SOCIAL ROBOTICS, SPRINGER, 7(2)253 - 263, Apr. 2015, English, Research paper (scientific journal)
  • Evolving Emotion Recognition Module for Intelligent Agent
    Rahadian Yusuf, Ivan Tanev, Katsunori Shimohara
    An emotion recognition module is crucial in designing a computer agent that is capable of interacting with emotional expressions. Under-standing user's current emotion can be achieved by several methods, but current researches are either using still images, or sensors that are not pervasive. Usual approach is using a generalized classifier to recognize pattern of emotion features captured by sensors. Unlike most researches, this research focuses on pervasive sensors and a single user, using evolution algorithm. This research also discusses about the classifier evolutions using Genetic Programming, and comparing several directed evolutions in evolving the emotion recognition module., PROCEEDINGS OF THE 18TH ASIA PACIFIC SYMPOSIUM ON INTELLIGENT AND EVOLUTIONARY SYSTEMS, VOL 2, SPRINGER INT PUBLISHING AG, 2215 - 226, 2015, English, Research paper (international conference proceedings)
  • On the Effects of Epigenetic Programming on the Efficiency of Incremental Evolution of the Simulated Khepera Robot
    Yasuto Nishiwaki, Ivan Tanev, Katsunori Shimohara
    We present the results of our work on epigenetic programming (EP) and its application to navigation of mobile cleaning robot. We verify the effect of genetic switch and the feasibility of incorporating histones. The results show individuals applying LEP are better performance and less the number of generations than applying GP but takes costs of calculation. As a result, we believe the histone accelerates efficient evolution of nature., PROCEEDINGS OF INTERNATIONAL CONFERENCE ON ARTIFICIAL LIFE AND ROBOTICS (ICAROB2015), ALIFE ROBOTICS CO, LTD, 60 - 63, 2015, English, Research paper (international conference proceedings)
  • Evolutionary Development of Electronic Stability Program for a Simulated Car in TORCS Environment
    Jilin Huang, Ivan Tanev, Katsunori Shimohara
    We propose an approach of applying genetic programming (GP) for automated development of electronic stability program (ESP) of a car, realistically simulated in The Open Source Racing Car Simulator (TORCS). ESP facilitates the yaw rotation of an unstable (e.g., understeering or oversteering) car in slippery road conditions by applying asymmetric braking forces to its wheels. In the proposed approach, the amount of ESP-induced braking force is evolved - via GP - as an algebraic function of the parameters, pertinent to the state of the car, and their derivatives. The experimental results suggest that, compared to the car without ESP, the best evolved ESP offers a superior controllability - in terms of both (i) a smaller deviation from the ideal trajectory and (ii) faster average speed on a given, &quot;snowy&quot; test track. Presented work could be viewed as step towards the verification of the feasibility of GP for automated development of ESP. Also, we hope that the ESP, as a contributed new functionality of TORCS, would enrich the experience of gamers by adding an enhanced controllability of their cars in challenging road conditions., 2015 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), IEEE, 1474 - 1481, 2015, English, Research paper (international conference proceedings)
  • Application of Genetic Programming and Genetic Algorithm in Evolving Emotion Recognition Module
    Rahadian Yusuf, Ivan Tanev, Katsunori Shimohara
    This paper will discuss about implementation of a voting system and weighted credibility to augment evolution process of an emotion recognition module. The evolution process of the emotion recognition module is one part of ongoing research on designing an intelligent agent capable of emotion recognition, interaction, and expression. Genetic programming evolves the classifiers, while genetic algorithm evolves the weighted credibility as a modification of parallel voting systems. The experimental results suggest that the implementation of weighted credibility evolution improves the performance of training, in the form of significantly reduced training time needed., 2015 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), IEEE, 1444 - 1449, 2015, English, Research paper (international conference proceedings)
  • Analysis of Genetic Programming in Gait Recognition
    Dipak Gaire Sharma, Ivan Tanev, Katsunori Shimohara
    Analysis of human motion is one of the most curious fields among different disciplines of socio-psychology, neuro biology and computer science. A person's walk is so crucial because it is associated with lots of other aspects which yield very important information related to emotions, personality, and neurological disorder. The morphological and psychological information induced from both the physiology and neurology involved in motion is one of the key research fields that could one day resolve the various challenges existing in today's intelligent systems inspired from nature. The most interesting among all these is, those wealth of data can be artificially trained using the complex systems in response to generate evidences for identifying the particular person [I]. This paper is the extension of human gait recognition which presents the analysis of efficiency of genetic programming in different cases involved in feature extraction and gait recognition., 2015 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), IEEE, 1418 - 1423, 2015, English, Research paper (international conference proceedings)
  • Evolving a General Electronic Stability Program for Car Simulated in TORCS
    Jilin Huang, Ivan Tanev, Katsunori Shimohara
    We present an approach of evolving (via Genetic Programming, GP) the electronic stability program (ESP) of a car, realistically simulated in The Open Racing Car Simulator (TORCS). ESP is intended to assist the yaw rotation of an unstable (e.g., either understeering or oversteering) car in low-grip, slippery road conditions by applying a carefully-timed asymmetrical braking forces to its wheels. In the proposed approach, the amount of ESP-induced brake force is represented as an evolvable (via GP) algebraic function (brake force function BFF) of the values of parameters, pertinent to the state of the car, and their derivatives. In order to obtain a general BFF, i.e., a function that result in a handling of the car, that is better than that of non ESP car, for a wide range of conditions, we evaluate the evolving BFF in several fitness cases representing different combinations of surface conditions and speeds of the car. The experimental results indicate that, compared to the car without ESP, the best evolved BFF of ESP offers a superior controllability - in terms of both (i) a smaller deviation from the ideal trajectory and (ii) faster average speed on a wide range of track conditions (&quot;icy&quot;, &quot;snowy&quot;, &quot;rainy&quot; and &quot;dry&quot;) and traveling speeds. Presented work could be viewed as an attempt to contribute a new functionality in TORCS that might enrich the experience of gamers by the enhanced controllability of their cars in slippery road conditions. Also, the results could be seen as a step towards the verification of the feasibility of applying GP for automated, evolutionary development of ESP., 2015 IEEE CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND GAMES (CIG), IEEE, 446 - 453, 2015, English, Research paper (international conference proceedings)
  • Superadditive effect of multi-robot coordination in the exploration of unknown environments via stigmergy
    Tueze Kuyucu, Ivan Tanev, Katsunori Shimohara
    We propose a simple yet efficient way of coordinating multiple homogeneous robots in the exploration of unknown environments. A guided probabilistic exploration of an unknown environment is achieved via combining random movement with pheromone-based stigmergic guidance. The emergent strategy is shown to provide a scalable solution to multi-robot coordination for the area exploration task, with a faster than linear speed-up with the addition of new robots. We utilize an approach to evaluating the desired exploration behavior that emphasizes &quot;surveying&quot; rather than &quot;scanning&quot; the environment. We analyze the emergent exploration strategies and demonstrate their effectiveness in higher complexity environments. (C) 2014 Elsevier B.V. All rights reserved., NEUROCOMPUTING, ELSEVIER SCIENCE BV, 14883 - 90, Jan. 2015, English, Research paper (scientific journal)
  • Improvement of Object Reference Recognition through Human Robot Alignment
    Mitsuhiko Kimoto, Takamasa Iio, Masahiro Shiomi, Ivan Tanev, Katsunori Shimohara, Norihiro Hagita
    This paper reports an interactive approach to improve the recognition performance by robots of objects indicated by humans during human-robot interaction. We developed an approach based on two findings in conversations where a human refers to an object, which is confirmed by a robot. First, humans tend to use the same words or gestures as the robot in a phenomenon called alignment. Second, humans tend to decrease the amount of information in their references when the robot uses excess information in its confirmations: in other words, alignment inhibition. These findings lead to the following design; a robot should use enough information without being excessive to identify objects to improve recognition accuracy because humans will eventually use similar information to refer to those objects by alignment. If humans more frequently use the same information to identify objects, the robot can more easily recognize those being indicated by humans. To verify our design, we developed a robotic system to recognize the objects to which humans referred and conducted a control experiment that had 2 x 3 conditions; one factor was the robot's confirmation way and another was the arrangement of the objects. The first factor had two levels to identify objects: enough information and excess information. The second factor had three levels: congestion, two groups, and a sparse set. We measured the recognition accuracy of the objects humans referred to and the amount of information in their references. The success rate of the recognition and information amount was higher in the adequate information condition than in the excess condition in a particular situation. The results suggested the possibility that our proposed interactive approach improved recognition performance., 2015 24TH IEEE INTERNATIONAL SYMPOSIUM ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION (RO-MAN), IEEE, 337 - 342, 2015, English, Research paper (international conference proceedings)
  • Human Recognition based on Gait Features and Genetic Programming
    Dipak Gaire Sharma, Ivan Tanev, Kasunori Shimohara
    Human walking has always been the curious field of research for different disciple of Social and Information Science. The study of human walk or human gait in association with different behaviors and emotions has not only fascinated social science researchers, but its uniqueness has also attracted many computer scientists to work in this arena for the quest of uncovering reliable mechanisms of biometric identification. In this research, we used a novel method for human identification based on inferring the relationship between the human gait features via genetic programming. Moreover, we focus on generating a unique numerical signature that is similar for different locomotion gaits of a particular individual but different across different individuals, PROCEEDINGS OF INTERNATIONAL CONFERENCE ON ARTIFICIAL LIFE AND ROBOTICS (ICAROB 2014), ALIFE ROBOTICS CO, LTD, 114 - 117, 2014, English, Research paper (international conference proceedings)
  • Cognitive approach to Computer Go programming
    N. Tenys, I. Tanev, K. Shimohara
    Go (Igo / Baduk / Weiqi) is a board game that is still one of the more difficult challenges for Artificial Intelligence research. While computers have defeated human champion in Chess 16 years ago, to this day best computer Go programs play only at a high amateur level. Humans play Go using experience, heuristic values, pattern recognition and whole board evaluations that computers are unable to match. Today's most successful Go programs use Monte Carlo search algorithm, but while this approach often finds good local moves on the board, due to its random nature it often fails to see the whole board position as well as human does. Our approach instead is implementation of human Go professional's &quot;thinking&quot; into a computer program - that is, creating a system, where computer uses algorithms and data constructs that mimic human's mind., PROCEEDINGS OF INTERNATIONAL CONFERENCE ON ARTIFICIAL LIFE AND ROBOTICS (ICAROB 2014), ALIFE ROBOTICS CO, LTD, 32 - 35, 2014, English, Research paper (international conference proceedings)
  • Does ICT promote the private provision of local public goods?
    Yurika Shiozu, Koya Kimura, Katsuhiko Yonezaki, Katsunori Shimohara
    In this paper, we found three conditions to clarify the social network structure for local people solving local problems with social network analysis. One is that a core group exists in the community; the second is that the inside of the core group is an exclusive network; and the third is that a person who has high value of Betweenness centrality is next to the core group. And we showed that using ICT increases the density of the social network in our case. © 2014 Springer International Publishing., Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer, 8521 LNCS(PART 1)629 - 640, 2014, Research paper (international conference proceedings)
  • Emergence of Collective Escaping Strategies in Caribou Agents
    Kun Tian, Ivan Tanev, Katsunori Shimohara
    We propose a wolf-caribou predator-prey system to verify our hypothesis that relatively complex collective escaping behavior may emerge from simple, implicit, locally defined, and therefore scalable interactions between the caribou (prey) agents. Proposing two different communication mechanisms - (i) simple, basic mechanism of implicit interaction, and (ii) explicit communications promoting the awareness of the caribou about the identity of the chased one (i. e., empathy), we present a comparative analysis of the implications of these communication mechanisms on the efficiency of evolution of the emerged collective behavior. We used strongly typed genetic programming with exception handling capabilities to evolve the collective behavior of caribou agents. The experimental results suggest that the empathy facilitates the evolution of collective escaping behavior of the team of caribou agents.., ADVANCED METHODS AND TECHNOLOGIES FOR AGENT AND MULTI-AGENT SYSTEMS, IOS PRESS, 25250 - 57, 2013, English, Research paper (international conference proceedings)
  • Performance of Incremental Genetic Programming on Adaptability of Snake-like Robot
    N. Mukosaka, I. Tanev, K. Shimohara
    In this paper we discuss the performance of the proposed Incremental Genetic Programming on the efficiency of evolution of locomotion gaits of simulated snake-like robot (Snakebot). Compared to the wheeled and legged robots, the Snakebot features better robustness and adaptability characteristics. However, as a modular robot featuring several degrees of freedom, Snakebots is difficult to control, especially when situated in challenging environments. Moreover, evolving the Snakebot in such environments from scratch via canonical genetic programming (GP) is rather inefficient. In our work we propose a two-staged, incremental genetic programming (IncGP) and apply it for the evolution of Snakebot. In order to verify the performance of IncGP, we conducted experiments on evolution of locomotion gaits of Snakebot via both GP and IncGP. The experimental results show that two-staged incremental evolution via IncGP features much improved efficiency over the canonical GP. (C) 2013 The Authors. Published by Elsevier B.V., 17TH ASIA PACIFIC SYMPOSIUM ON INTELLIGENT AND EVOLUTIONARY SYSTEMS, IES2013, ELSEVIER SCIENCE BV, 24(24)152 - 157, 2013, English, Research paper (international conference proceedings)
  • Relationality Design and Relationality-oriented Systems Design
    Katsunori Shimohara
    Relationality-oriented system science introduced here is a new research field where we try to understand and grasp systems as substance in which humans, tangible and intangible artifacts are interdependent and function together. We have been conducting research on how to design relationality in complex systems composed of humans, tangible and intangible artifacts, by using evolutionary computation and network science as methodologies. This paper describes the research concept, methodologies of relationality design. As one of research on relationality, we propose a research framework for a social network system that elicits relationality from people's daily life, grows relationality with self-propagation and self-proliferation mechanisms, and enables to promote, manage and operate reproduction of relationality., ADVANCES IN KNOWLEDGE-BASED AND INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, IOS PRESS, 2431962 - 1971, 2012, English, Research paper (international conference proceedings)
  • On the Cumulative Effect of Bloat and Genetic Transposition on the Efficiency of Incremental Evolution of Snake-like Robot
    Ivan Tanev, Tueze Kuyucu, Katsunori Shimohara
    We present a study on the cumulative effect of the bloat and the seeding of the initial population, inspired by genetic transposition (GT), on the efficiency of incremental evolution of simulated snake-like robot (Snakebot). In the proposed incremental genetic programming (IGP), the task of coevolving the locomotion gaits and sensing of the bot in a challenging environment is decomposed into two sub-tasks, implemented as two consecutive evolutionary stages. First, we use genetic programming (GP) with two ways of bloat management, (i) parsimony pressure which penalizes the bloat and (ii) no bloat control, to evolve two pools of sensor-less Snakebots. During the second stage of IGP, we use these pools to seed the initial population of Snakebots applying two methods of seeding: canonical seeding and GT-inspired seeding. The empirical results indicate that the efficiency of the first stage of IGP for both bloat control techniques is similar. However, the bloated bots contribute to a much more efficient second stage of evolution. Compared to the canonical seeding with parsimony bots, the GT-inspired seeding with bloated Snakebots yields about five times higher probability of success and similar decrease of computational effort of the second stage of IGP., PROCEEDINGS OF THE FOURTEENTH INTERNATIONAL CONFERENCE ON GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, ASSOC COMPUTING MACHINERY, 161 - 168, 2012, English, Research paper (international conference proceedings)
  • Cross-modal effects between gestures and words in human robot interaction
    Takamasa Iio, Masahiro Shiomi, Kazuhiko Shinozawa, Takaaki Akimoto, Katsunori Shimohara, Norihiro Hagita
    This paper reports a new finding of a phenomenon that person's gestures or words are implicitly modified by robot's gestures or words. Previous researches focused on an implicit effect of robot's gestures on person's gestures or an implicit effect of robot's words on person's words, but they did not focused on an implicit effect of robot's gestures on person's words or an implicit effect of robot's words on person's gestures. We supposed that there was such an effect as to arise between different modalities, and we defined it as a cross-modal effect. In order to verify hypotheses about the cross-modal effect, an experiment was conducted, in which a pair of a pointing gesture and a deictic word was focused on. This result showed that participants used a pointing gesture more often when a robot used a deictic word, and participants used a deictic word more often when the robot used a pointing gesture. Therefore, person's pointing gesture was implicitly modified by robot's deictic word, and also person's deictic word was implicitly modified by robot's pointing gesture. The cross-modal effect is expected to be applied to robot's dialog design to elicit comprehensible behavior from a person., PROCEEDINGS OF THE SIXTEENTH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL LIFE AND ROBOTICS (AROB 16TH '11), ALIFE ROBOTICS CORP LTD, 585 - 588, 2011, English, Research paper (international conference proceedings)
  • Evolution of agent, remotely operating a scale model of a car through a latent video feedback
    Ivan Tanev, Katsunori Shimohara
    We present an evolution of an agent, remotely operating a fast running scale model of a car. The agent perceives the environment from overhead video camera and conveys its actions via radio control transmitter. In order to cope with the video feed latency we propose an anticipatory modeling in which the agent considers its actions based on the anticipated state of the car. The agent is first evolved offline on a software simulator and then adapted online to the real world. During the online evolution, the lap times improve to the values much close to the values obtained from the offline evolution. An online evolutionary optimization of the avoidance of a small static obstacle with a priori known properties results in lap times that are virtually the same as the best lap times achieved on the same track without obstacles. This work can be viewed as a step towards the automated design of controllers of remotely operated vehicles capable to find an optimal solution to various tasks in a priori known environments., JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, SPRINGER, 52(2)263 - 283, Jun. 2008, English, Research paper (scientific journal)
  • Molecular computation and evolutionary wetware: A cutting-edge technology for artificial life and nanobiotechnologies
    Jian-Qin Liu, Katsunori Shimohara
    Focusing on the new frontiers opened by the integration of artificial life and nanobiotechnologies, this paper reviews mainstream biomolecular computation from the viewpoint of an information processing mechanism, computing methods, and problem-solving algorithms. We also discuss evolutionary wetware as a tool for unconventional computing, inspired by biomolecular systems in nature. Biomolecular computation uses a different paradigm of computing than that of the semiconductor computer. It includes several branches based on different molecular materials or molecular structures. Wetware can be used to demonstrate molecular evolution by engineered, operations in test tubes. This makes evolutionary wetware capable of bridging the two domains of molecular computation and artificial life so that molecular information processing methods can be extended from carrying out computational tasks to modeling scalable complex systems. From a systematic study of nanobiomachines, we expect to designate models of artificial life, and to search for a novel methodology of nanobioICT (Information and Communication Technology) in the near future., IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 37(3)325 - 336, May 2007, English
  • Ultra-fast genome wide simulation of biological signal m-ansduction networks: Starpack
    Tetsuya Maeshiro, Hitoshi Hemmi, Katsunori Shimohara
    We developed a computer system that simulates signal transduction networks in biological cells, for instance biochemical reactions and gene networks. The simulation speed is at least ten thousand times faster than software-based simulations executed on conventional computers. The system, named Starpack, simulates any model that can be described as a network (entities and relationships among them). Simulation of a simple cell model indicates clear superiority of Starpack over conventional systems., FRONTIERS OF COMPUTATIONAL SCIENCE, SPRINGER-VERLAG BERLIN, 243 - +, 2007, English, Research paper (international conference proceedings)
  • Interactive learning of consensus sequences in genetic programming for evolution of snake-like robot
    Ivan T. Tanev, Katsunori Shimohara
    We discuss an approach of incorporating interactively learned consensus sequences (ILCS) in genetic programming (GP) for efficient evolution of simulated Snakebot situated in a challenging environment. ILCS introduce a biased mutation in GP via probabilistic context sensitive grammar, in which the probabilities of applying the production rules with multiple right-hand side alternatives depend on the grammatical context. The distribution of these probabilities is learned interactively from the syntax of the Snakebots, exhibiting behavioral traits that according to the human observer are relevant for the emergence of ability to overcome obstacles. Because at the earlier stages of evolution these behavioral traits are not necessarily pertinent to the best performing (i.e. fastest) Snakebots, the user feedback provides the evolution with an additional insight about the promising areas in the fitness landscape. Empirical results verify that employing ILCS improves the efficiency of GP in that the evolved Snakebots are faster than those obtained via canonical GP., 2007 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-10, PROCEEDINGS, IEEE, 3662 - 3670, 2007, English, Research paper (international conference proceedings)
  • On human competitiveness of the evolved agent operating a scale model of a car
    Ivan T. Tanev, Katsunori Shimohara
    We present an approach for evolutionary design of the driving style of an agent, remotely operating a scale model of a car in a human competitive way. The agent perceives the environment from an overhead video camera and conveys its actions to the car via standard radio remote control transmitter. In order to cope with the video feed latency we propose an anticipatory modeling in which the agent considers its current actions based on the anticipated intrinsic (rather than currently available, outdated) state of the car and its surrounding. We formalized the notion of driving style by defining the key parameters, which describe it, and demonstrated the feasibility of applying genetic algorithms to evolve the optimal values of these parameters. The optimized driving style, employed by the agent, is human competitive in that it yields both faster and more consistent lap times than those of a human around a predefined circuit. Presented work can be viewed as a step towards the automated design of the control software of remotely operated vehicles capable to find an optimal solution to various tasks in a priori known environmental situations. Also, the results can be seen as a verification of the feasibility of developing a framework of adaptive racing games in which the human competes against a computerized opponent with matching capabilities, both operating physical, scale models of cars., 2007 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-10, PROCEEDINGS, IEEE, 3646 - 3653, 2007, English, Research paper (international conference proceedings)
  • Modeling of a hybrid ad hoc cellular network system
    Sachiko Yamanaka, Katsunori Shimohara
    This paper presents the modeling and performance analysis in the integrated ad hoc and cellular network systems. In the modeling of the other integrated systems [7, 10, 12, 14, 17], the handoff area was not considered. However, for mobile communications, handoff area is important, complicated and unstable area that is the boundary of cells. In our system, handoff area and queue are taken into consideration, and new and handoff calls are given priority, respectively. We derive and evaluate some characteristic values such as the mean waiting time. In numerical results, the analytical results in our system are compared with those in the other integrated system, and with the simulation results for the validation., JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, INST INFORMATION SCIENCE, 23(1)113 - 126, Jan. 2007, English, Research paper (scientific journal)
  • Performance analysis of CDMA cellular networks with channel sub-rating
    S Yamanaka, K Shimohara
    This paper presents the analysis of CDMA cellular networks with channel sub-rating. From users' point of view, our considered scheme gives higher priority to handoff calls over new calls by sub-rating the existing connections when handoff calls find no idle channels upon their arrivals. Therefore, it is considered that the disadvantage of the soft handoff which needs more channels than the hard handoff is made up for. Handoff calls can also wait in a queue while they are ill handoff areas if all channels are sub-rated in the cell of interest. We mathematically model this scheme by applying queueing theory. Then, we analyse its performance to derive the blocking probabilities of the new and handoff calls, the probability that handoff calls leave the handoff area without getting new channels, the degradation ratio of the voice quality by sub-rating, mean and coefficient of variation of the waiting time of handoff calls. In numerical results, the analytical results are compared with the simulation ones to validate our analytical approach. Moreover, we compare the sub-rating scheme with full-rating one with respect to some characteristic values to show the effect of sub-rating. Copyright (C) 2005 John Wiley & Sons, Ltd., INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, JOHN WILEY & SONS LTD, 19(3)317 - 333, Apr. 2006, English, Research paper (scientific journal)
  • Evolution and adaptation of an agent driving a scale model of a car with obstacle avoidance capabilities
    Ivan Tanev, Michal Joachimczak, Katsunori Shimohara
    We present an approach for evolutionary design of the driving style of an agent, remotely operating a scale model of a car running in a fastest possible way. The agent perceives the environment from a video camera and conveys its actions to the car via standard radio control transmitter. In order to cope with the video feed latency we propose an anticipatory modeling in which the agent considers its current actions based on the anticipated intrinsic (rather than currently available, outdated) state of the car and its surrounding. The driving style is first evolved offline on a software model of the car and then adapted online to the real world. An online evolutionary adaptation of the offline-obtained best styles to the needs to avoid a small obstacle results in lap times that are virtually the same as the best lap times achieved on the same track without obstacles. Presented work is a step towards the automated design of the control software of remotely operated vehicles capable to find an optimal solution to various tasks in different environmental situations. The results, also, can be seen as an attempt to explore the feasibility of developing a framework of adaptive racing games in which the human competes against a computer with matching capabilities, both operating physical, scale models of cars., FROM ANIMALS TO ANIMATS 9, PROCEEDINGS, SPRINGER-VERLAG BERLIN, 4095619 - 630, 2006, English, Research paper (scientific journal)
  • Evaluation criteria for learning mechanisms applied to agents in a cross-cultural simulation
    YIL Suematsu, K Takadama, K Shimohara, O Katai, K Arai
    In problems with non-specific equilibrium, common in social sciences, the processes involved in learning mechanisms can produce quite different outcomes. However, it is quite difficult to define which of the learning mechanisms is the best. When considering the case of a cross-cultural environment, it is necessary to evaluate how adaptation to different cultures occurs while keeping, at some level, the cultural diversity among the groups. This paper focuses on identifying an evaluation criterion using a comparison of various learning mechanisms that can manage the trade-off between adaptation to a new culture and the preservation of cultural diversity. Results show that: (a) For small and gradual accuracy from a less accurate learning mechanism, there is a tiny reduction in the diversity while the convergence time drops rapidly. For an accuracy level close to the most accurate learning mechanism, a reduction of the convergence time can be minor, while the diversity drops rapidly; (b) The evaluation of learning mechanism that performs better for fast converging while simultaneously keeping a good diversity before the convergence was performed graphically., Agent-Based Simulation: From Modeling Methodologies to Real-World Applications, SPRINGER-VERLAG TOKYO, 189 - 98, 2005, English, Research paper (international conference proceedings)
  • Exploiting interaction between sensory morphology and learning
    K Sugiura, M Akahane, T Shiose, K Shimohara, O Katai
    This paper proposes a system that automatically designs the sensory morphology of an autonomous robot. This system uses two kinds of adaptation, ontogenetic adaptation and phylogenetic adaptation, to optimize the sensory morphology of the robot. In ontogenetic adaptation, individuals with many different sensory morphologies use reinforcement learning to adapt to a task. In phylogenetic adaptation, a Genetic Algorithm is used to select morphologies with which the robot can learn the task faster We made the system design a line-following robot, and carried out experiments to compare the design solution with a handcoded design. The results have shown that the designed robot outperforms the hand-coded design in terms of line-following accuracy and learning speed, although it has fewer sensors than hand-coded robots. The paper also shows the effective use of sensory morphology obtained by our system., INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOL 1-4, PROCEEDINGS, IEEE, 883 - 888, 2005, English, Research paper (international conference proceedings)
  • Evolution of the driving styles of anticipatory agent remotely operating a scaled model of racing car
    Tanev, I, M Joachimczak, H Hemmi, K Shimohara
    We present an approach for automated evolutionary design of driving agent, able to remotely operate a scale model of racing car running in a fastest possible way. The agent's actions are conveyed to the car via standard radio control transmitter. The agent perceives the environment from a live video feedback of an overhead camera. In order to cope with the inherent video feed latency, which renders even the straightforward tasks of following simple routes unsolvable, we implement an anticipatory modeling the agent considers its current actions based on anticipated intrinsic (rather than currently available, outdated) state of the car and its surrounding. The driving style (i.e. the driving line combined with the speed at which the car travels along this line) is first evolved offline on a software simulator of the car and then adapted online to the real world. Experimental results demonstrate that on long runs the agent's operated car is only marginally slower than a human-operated one, while the consistence of lap times posted by the evolved driving style of the agent is better than that of a human. This work can be viewed as a step towards the development of a framework for automated design of the controllers of remotely operated vehicles capable to find an optimal solution to various tasks in different traffic situations and road conditions., 2005 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-3, PROCEEDINGS, IEEE, 21891 - 1898, 2005, English, Research paper (international conference proceedings)
  • On designing effor-coffectable codes by biomolecular computation
    JQ Liu, K Shimohara
    In this paper, we propose a new encoding algorithm and its corresponding decoding algorithm, which are designed by biomolecular computation based on the signaling pathways of Rho family GTPases. These algorithms can carry out encoding/decoding processes that are capable of correcting possible errors, and are expected to be realized by corresponding engineered cellular pathways according to their biochemical faithfulness., 2005 IEEE International Symposium on Information Theory (ISIT), Vols 1 and 2, IEEE, 2384 - 2388, 2005, English, Research paper (international conference proceedings)
  • Signaling-pathway-based molecular computing for efficient 3-SAT problem solving
    JQ Liu, K Shimohara
    In this paper, we propose a molecular computing method based on the signaling pathways of cells. The kernel of the corresponding computing mechanism is the interaction of signaling pathways for phosphorylation-dephosphorylation regulated by kinases and phosphatases. The materials for its potential biological implementation are the signaling pathways of Rho family GTPases of in situ cells that have been simulated by us in a coarse-grained way. An instance of the 3-SAT benchmark problem is used to test the performance of signaling-pathway-based algorithms applied in NP problem solving. The theoretical result that we achieved is that both control-space complexity and time complexity is linear. In addition to this, the merits derived from the method mentioned above include scalability, robustness, programmability, controllability and autonomy. The simulation has shown that molecular computing schemes using signaling pathways are programmable for different computing units and controllable for temporal signals of pathways with ample efficiency for computing processes. (C) 2003 Elsevier Inc. All rights reserved., INFORMATION SCIENCES, ELSEVIER SCIENCE INC, 161(3-4)121 - 137, Apr. 2004, English, Research paper (scientific journal)
  • A novel programmable molecular computing method based on signaling pathways regulated by Rho-GTPases in living MDCK epithelial mammalian cells
    JQ Liu, K Shimohara
    In this paper, we propose a new biomolecular computing method based on the crosstalked pathways of living cells and the corresponding kinase-phosphatase networks under the regulation of Rho family GTPases. Owing to their merits of efficient regulation in controlled pathway complexity and low cost in implementation, we propose a feasible protocol (the algorithm) for kinase-and-phosphatase-based computers (called kinase computers for short) and the materials and methods for their implementation. In order to obtain high programmability in molecular computation, we have successfully designed pathway regulation schemes for computation. Here we report our latest simulation results on a designed controllable crosstalk mechanism and efficient schemes for engineered GTPase-based signaling communications for stable kinase computing under the dynamical environment of a cell culture assay. This is significant for the application of molecular computing to medical nanobioinformatics and also provides a testbed for new and unconventional computing paradigms inspired by nature., PARALLEL PROBLEM SOLVING FROM NATURE - PPSN VIII, SPRINGER-VERLAG BERLIN, 3242312 - 321, 2004, English, Research paper (scientific journal)
  • Autonomous symbol acquisition through agent communication
    A Wada, K Takadama, K Shimohara, O Katai
    In this chapter, we propose a multi-agent system aiming at autonomous symbol acquisition, in which agents acquire symbols through communication instead of symbols being given a priori by the designer. Based on this idea, we extended Steels's language acquisition model to develop a new model featuring three mechanisms: (a) symbol matching; (b) symbol creation; and (c) concept selection. Intensive simulation revealed the following implications: (1) the degree of trade-off between communication success and required lexicon size can be decreased by matching all possible combinations in symbol matching; (2) symbol creation of hearer agents plays a significant role in symbol acquisition, while speaker agents do not; (3) the speed of symbol creation depends on the method used for this step, but it is not related to the trade-off between communication success and lexicon size; and (4) concept selection can also be applied to resolve the trade-off between communication success and required lexicon size., Recent Advances in Simulated Evolution and Learning, WORLD SCIENTIFIC PUBL CO PTE LTD, 2711 - 728, 2004, English, Research paper (international conference proceedings)
  • Analyzing the agent-based model and its implications
    YIL Suematsu, K Takadama, NE Nawa, K Shimohara, O Katai
    Agent-based models (ABMs) have been attracting the attention of researchers in the social sciences, becoming a prominent paradigm in the study of complex social systems. Although a great number of models have been proposed for studying a variety of social phenomena, no general agent design methodology is available. Moreover, it is difficult to validate the accuracy of these models. For this reason, we believe that some guidelines for ABMs design must be devised; therefore, this paper is a first attempt to analyze the levels of ABMs, identify and classify several aspects that should be considered when designing ABMs. Through our analysis, the following implications have been found: (1) there are two levels in designing ABMs: the individual level, related to the design of the agents&apos; internal structure, and the collective level, which concerns the design of the agent society or macro-dynamics of the model; and (2) the mechanisms of these levels strongly affect the outcomes of the models., ADVANCES IN COMPLEX SYSTEMS, WORLD SCIENTIFIC PUBL CO PTE LTD, 6(3)331 - 347, Sep. 2003, English, Research paper (scientific journal)
  • A Biomolecular computing method based on Rho family GTPases
    JQ Liu, K Shimohara
    In this paper, we propose a new biomolecular computing method based on Rho family GTPases, and discuss the schemes of representation and operations of molecular computing by Rho family GTPases; applied to solve large-scale 3-SAT problems. We also present the optimal condition for the regulation schemes dependent on the temperature, kinase activity, and types of cells. This work is important for potential implementation of biomolecular computers using Rho family GTPases in which an optimized controlling scheme can make the best use of the interactions of signaling pathways in a computing system made by the large-scale abundance of kinases and phosphatases in cells., IEEE TRANSACTIONS ON NANOBIOSCIENCE, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2(2)58 - 62, Jun. 2003, English, Research paper (scientific journal)
  • An autonomous and cooperative multi-agent model for solving real world problems
    YJ Tian, K Shimohara, T Sawaragi, Y Liu
    Cooperative behavior is considered to be very Important for the negotiation among autonomous agents in a multi-agent system. To realize tile system's cooperation, each agent must make some necessary concessions in the competition of limited resources. In this paper, an Autonomous and Cooperative Multi-agent Model (ACMAM) is proposed for solving the conflicts among agents competitions. ACMAM is based oil the idea of Autonomous Decentralized System (ADS) and Druin-Buffer-Rope (DBR) presented in the Theory Of Constraints (TOC). In ACMAM each agent is considered as all autonomous and cooperative, and they do not only compete resources for reaching its own goal but also make concession for subordinating the system's decision. The system's constraint, can be improved by the cooperative negotiation of autonomous agents and the concessive behaviors of some agents. ACMAM also discusses that when and how agents adopt the concessive behavior by using an example of real world systems called Loading Allocating and Scheduling Problem (LASP)., 7TH WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL VIII, PROCEEDINGS, INT INST INFORMATICS & SYSTEMICS, VIII272 - 277, 2003, English, Research paper (international conference proceedings)
  • A reinforcement learning approach to fail-safe design for multiple space robots - cooperation mechanism without communication and negotiation schemes
    K Takadama, S Matsumoto, S Nakasuka, K Shimohara
    This paper explores a fail-safe design for multiple space robots, which enables robots to complete given tasks even when they can no longer be controlled due to a communication accident or negotiation problem. As the first step towards this goal, we propose new reinforcement learning methods that help robots avoid deadlock situations in addition to improving the degree of task completion without communications via ground stations or negotiations with other robots. Through intensive simulations on a truss construction task, we found that our reinforcement learning methods have great potential to contribute towards fail-safe design for multiple space robots in the above case. Furthermore, the simulations revealed the following detailed implications: (i) the first several planned behaviors must not be reinforced with negative rewards even in deadlock situations in order to derive cooperation among multiple robots, (ii) a certain amount of positive rewards added into negative rewards in deadlock situations contributes to reducing the computational cost of finding behavior plans for task completion, and (iii) an appropriate balance between positive and negative rewards in deadlock situations is indispensable for finding good behavior plans at a small computational cost., ADVANCED ROBOTICS, VSP BV, 17(1)21 - 39, 2003, English, Research paper (scientific journal)
  • Effects of learning to interact on the evolution of social behavior of agents in continuous predators-prey pursuit problem
    Tanev, I, K Shimohara
    We present the results of our work on the effect of learning to interact on the evolution of social behavior of agents situated in inherently cooperative environment. Using continuous predators-prey pursuit problem we verified our hypothesis that relatively complex social behavior may emerge from simple, implicit, locally defined, and therefore - robust and highly-scalable interactions between the predator agents. We argue that the ability of agents to learn to perform simple, atomic acts of implicit interaction facilitates the performance of evolution of more complex, social behavior. The empirical results show about two-fold decrease of computational effort of proposed strongly typed genetic programming (STGP), used as an algorithmic paradigm to evolve the social behavior of the agents, when STGP is combined with learning of agents to implicitly interact with each other., ADVANCES IN ARTIFICIAL LIFE, PROCEEDINGS, SPRINGER-VERLAG BERLIN, 2801138 - 145, 2003, English, Research paper (scientific journal)
  • A new approach to autonomous kinase computing
    JQ Liu, K Shimohara
    In this paper, we propose a new approach to kinase computing that will provide a strong possibility of autonomy in cell-based computing using signaling pathways. Based on the signaling mechanism of phosphorylation and dephosphorylation for basic computing processes, the complexity derived from 3-SAT computation by kinase computing is discussed. The experimental result obtained from a corresponding simulation shows that the related design scheme of kinase computing is controllable for the nonlinear phenomena of the curves of concentration vs. time in simulation. This work is necessary to achieve pathway designs for kinase computation with related biological faithfulness., PROCEEDINGS OF THE 7TH JOINT CONFERENCE ON INFORMATION SCIENCES, ASSOC INTELLIGENT MACHINERY, 1479 - 1483, 2003, English, Research paper (international conference proceedings)
  • On role of implicit interaction and explicit communications in emergence of social behavior in continuous predators-prey pursuit problem
    Tanev, I, K Shimohara
    We present the result-of our work on use of genetic programming for evolving social behavior of agents situated in inherently cooperative environment. We use predators-prey pursuit problem to verify our hypothesis that relatively complex social behavior may emerge from simple, implicit, locally defined, and therefore - robust and highly-scalable interactions between the predator agents. We propose a proximity perception model for the predator agents where only the relative bearings and the distances to the closest predator agent and to the prey are perceived. The instance of the problem we consider is more realistic than commonly discussed in that the world, the sensory and moving abilities of agents are continuous; and the sensors of agents feature limited range of &quot;visibility&quot;. The results show, that surrounding behavior, evolved using proposed strongly typed genetic programming with exception handling (STGPE). emerges from local, implicit and proximity-defined interactions between the predator agents in both cases when multi-agents systems comprises (i) partially inferior predator agents (with inferior moving abilities and superior sensory abilities) and with (ii) completely inferior predator agents. In the latter case the introduction of short-term memory and explicit communication contributes to the improvement of performance of STGPE., GENETIC AND EVOLUTIONARY COMPUTATION - GECCO 2003, PT I, PROCEEDINGS, SPRINGER-VERLAG BERLIN, 272374 - 85, 2003, English, Research paper (scientific journal)
  • Kansei processes in a psychodynamic agent
    A Buller, K Shimohara
    This paper discusses the possibility of building of an artificial agent that would fit to the spirit of the Kansei technology of communication in a cyber society, i.e. that would be able to autonomously develop relationships with people and understand the significance of the relationships. We argue that the psychodynamic theory of personality provides a key to such a construction. We propose a block diagram of a psychodynamic agent and discuss its functional modules. The basic modules are four computational models of reality that cover perceived reality, desired reality, anticipated reality, ideal reality. A set of supporting modules facilitates categorization, action drive, imitation drive, domination drive, action planning, plan evaluation, hunger for knowledge, and defense mechanisms. The task of the agent's working memory includes producing images of the agent itself imitating another subject's activities and sending these images to a model of desired reality. A kind of psychic tension (a concept borrowed from psychoanalysis) arising from the calculated differences between a perceived reality and a desired reality is a source of a motivation toward action. The final decision to take an action is based on a comparison of the model of anticipated reality with that of ideal reality., 6TH WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL VIII, PROCEEDINGS, INT INST INFORMATICS & SYSTEMICS, Ⅷ133 - 138, 2002, English, Research paper (international conference proceedings)
  • A new molecular computing algorithm based on signaling pathways: Solving 3-SAT (50,30) problem with the cost of linear space complexity
    JQ Liu, K Shimohara
    Reducing the huge number of bio-molecules used for building molecular computers is one of the most crucial and imperative tasks in the molecular computing field. Inspired by biological signaling pathways in cells, a formal-system-based algorithm for spatially efficient molecular computing by pathways is proposed in this paper. Its space complexity is O(mxn) and its time complexity is O(m) when the algorithm is applied to solving 3-SAT problems, where in is the number of clauses and m is the number of variables. The experimental result obtained from the corresponding software implementation of the algorithm shows that the algorithm is efficient from the aspect of cost of computing and practical in its biological faithfulness., PROCEEDINGS OF THE 6TH JOINT CONFERENCE ON INFORMATION SCIENCES, ASSOC INTELLIGENT MACHINERY, 594 - 597, 2002, English, Research paper (international conference proceedings)
  • Nongovernance rather than governance in a multiagent economic society
    K Takadama, T Terano, K Shimohara
    This paper explores how to achieve goals at the macro level without controlling self-interested economic agents at the micro level and investigates the effectiveness of our claim suggesting that we make use of properties arising from interaction among economic agents to address the above issue. Intensive experiments on a complex domain problem have found the following implications: 1) as an institution design, it is important not to control economic agents at the micro level, but to promote them to self-activate in order to achieve goals at the macro level and 2) as a role of an administrative party like a government, it is important to have a clear view to determine which results are good because the timing for finding such results depends on the environmental situation and there is no guarantee that these results will converge. Other implications are summarized as follows: 1) it is important to remove evaluation level intervention to find good results, while it is important to introduce this intervention to reduce costs and 2) behavior intervention does not contribute to finding good results nor reducing costs., IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 5(5)535 - 545, Oct. 2001, English, Research paper (scientific journal)
  • Exploration and exploitation trade-off in multiagent learning
    K Takadama, K Shimohara
    This paper focuses on the trade-off between exploration and exploitation in multiagent learning and explores some fundamental factors that contribute to clarifying this trade-off. Through inventive simulations on distributed constraint satisfaction problems in multiagent environments, the following implications are revealed: (1) the trade-off between exploration and exploitation at the collective level is not easy to be solved when considering the trade-off at the individual level; but (2) the trade-off at the collective level can be solved by introducing a simple gradient search in the trade-off at the individual level., ICCIMA 2001: FOURTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND MULTIMEDIA APPLICATIONS, PROCEEDINGS, IEEE COMPUTER SOC, 133 - 137, 2001, English, Research paper (international conference proceedings)
  • Para-evolutionary paradigm of reasoning
    A Buller, L Kaiser, K Shimohara
    The paper introduces an unconventional way of reasoning consisting in a selection of entities called memes that inhabit Agent's Working Memory (WM). Agent's concluding belief appears as a population of identical memes that in a certain period of time dominates Working Memory. We discuss mechanisms of meme interactions, early experiments with a simulation model of meme-based Working Memory and its psychological justification, as well as potential possibility of meme-based object recognition and meme-based action planning., KNOWLEDGE-BASED INTELLIGENT INFORMATION ENGINEERING SYSTEMS & ALLIED TECHNOLOGIES, PTS 1 AND 2, I O S PRESS, 69127 - 131, 2001, English, Research paper (international conference proceedings)
  • Proposal of eco-evolution
    Y Fujimoto, K Shimohara
    In this study, we propose a new paradigm of evolutionary computation named &quot;Eco-Evolution&quot; for large- scale and complex real problems. The aim of this paradigm is to maintain the diversity of a population and to achieve convergence towards the global optimum and local optima in the evolutionary process. The idea of the paradigm is inspired from Tierra as an evolutionary ecological system that has widespread diversity. A concept of diversity in terms of applying evolutionary computation to real problems is defined. Several ideas are introduced for the implementation of this feature. They include individual lifetime and individual resource consumption based on fitness, and local crossover for clustering individuals in a population. In this study, Eco-Evolution is confirmed to have the feature of defined diversity., KNOWLEDGE-BASED INTELLIGENT INFORMATION ENGINEERING SYSTEMS & ALLIED TECHNOLOGIES, PTS 1 AND 2, IOS PRESS, 69101 - 106, 2001, English, Research paper (international conference proceedings)
  • Creation of a Noh mask using a 3D computer graphics technique
    A Tohma, K Shimohara, Y Tohkura, N Yokoya
    To examine how computer technology can produce delicate, audience-inspiring presentations like &quot;Noh&quot;, we attempted to create a Noh mask (Ko-omote) using a 3D computer graphics technique, by only referring to a carved wooden mask. It was possible to detect several characteristics of the mask's structure in the creation process. Rendering images showed the possibility that such a specific structure is closely related to effects of subtle facial expression changes. In order to bring more diverse effect to audiences, we also attempted to create a computer animation combining the mask model with story, movement, and background images. This paper suggests the possibility of acquiring profound experiences with the perception and expression of &quot;face&quot; for both viewers and creators by using a computer graphics technique., 2000 IEEE INTERNATIONAL CONFERENCE ON INFORMATION VISUALISATION, PROCEEDINGS, IEEE COMPUTER SOC, 407 - 412, 2000, English, Research paper (international conference proceedings)
  • How to design good learning agents in organization
    K Takadama, T Terano, K Shimohara
    This paper categorizes four types of multiagent learning in terms of both goals and evaluations in agents, and investigates the characteristics of each categorization to find an effective type for designing learning agents. Since the characteristics in this categorization are affected by the learning mechanisms of agents, the characteristics are investigated by referring to organizational learning in organization and management science as one of methods. Through intensive simulations on a complex domain problem, the following implication has been revealed: agents that pursue their own goals and are evaluated according to their total results show high performance in comparison with other types of agents when all learning mechanisms in the organizational learning are employed., GECCO-99: PROCEEDINGS OF THE GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, MORGAN KAUFMANN PUB INC, 21398 - 1405, 1999, English, Research paper (international conference proceedings)
  • Organizational learning agents for task scheduling in space crew and robot operations
    K Takadama, H Kasahara, LC Huang, M Watabe, H Ii, K Shimohara, S Nakasuka
    This paper explores rescheduling and reorganization abilities of our organizational learning model in the following two important applications in space: crew task scheduling in a space shuttle/station and task planning for truss construction with multiple space robots. Through intensive simulations of the above two tasks, the following experimental results have been obtained: (1) Our model provides good feasible schedules quickly in the case of rescheduling, and it keeps the computational cost for rescheduling low; (2) Plans generated by our model keep or recover efficiency in tasks when robots are added, removed, or exchanged among robot groups; and (3) The integration of(a) learning mechanisms, (b) rule based systems with evolutionary approaches, and (c) multiagent approaches is effective in rescheduling/replanning problems., ISAIRAS '99: FIFTH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL INTELLIGENCE, ROBOTICS AND AUTOMATION IN SPACE, EUROPEAN SPACE AGENCY, 440561 - 568, 1999, English, Research paper (international conference proceedings)
  • A study of computer agents to help younger children
    YS Sagata, K Shimohara, Y Tonomura
    Image services that enable people to meet in cyberspace are attracting considerable attention as important services in the multimedia era. We focus on how computers and the Internet can be used by younger children to stimulate their imagination and creativity. Our aim is to create a new computerized editing system that enables children to make stories similar to a picture-story show. This paper describes on-going experiments with younger children in which they produce moving pictures on computers and points out some considerations for constructing systems geared towards younger children. Copyright (C) 1998 IFAC., ANALYSIS, DESIGN AND EVALUATION OF MAN-MACHINE SYSTEMS 1998, ELSEVIER SCIENCE BV, 59 - 64, 1999, English, Research paper (international conference proceedings)
  • Evolutionary learning of modular neural networks with genetic programming
    SB Cho, K Shimohara
    Evolutionary design of neural networks has shown a great potential as a powerful optimization tool. However, most evolutionary neural networks have not taken advantage of the fact that they can evolve from modules. This paper presents a hybrid method of modular neural networks and genetic programming as a promising model for evolutionary learning. This paper describes the concepts and methodologies for the evolvable model of modular neural networks, which might not only develop new functionality spontaneously, but also grow and evolve its own structure autonomously We show the potential of the method by applying an evolved modular network to a visual categorization task with handwritten digits. Sophisticated network architectures as well as functional subsystems emerge from an initial set of randomly-connected networks. Moreover, the evolved neural network has reproduced some of the characteristics of natural visual system, such as the organization of coarse and fine processing of stimuli in separate pathways., APPLIED INTELLIGENCE, KLUWER ACADEMIC PUBL, 9(3)191 - 200, Nov. 1998, English, Research paper (scientific journal)
  • Organizational learning model for adaptive collective behaviors in multiple robots
    K Takadama, K Hajiri, T Nomura, K Shimohara, S Nakasuka
    This paper proposes a novel organizational learning model in which multiple robots acquire their own functions for adaptive collective behaviors through local interactions among their neighbors and form an organizational structure to complete given tasks without global explicit control mechanisms or communication methods. In this paper, we focus on emergent processes in which robots dynamically form an organizational structure by acquiring their own appropriate functions to complete given tasks effectively and also focus on how organizational knowledge supports robots to reform their organizational structure. Through intensive simulations of truss construction by multiple robots, the following experimental results have suggested: (1) robots in our model acquire their own appropriate functions without global explicit control mechanisms or communication methods and form an organizational structure which completes given tasks in less steps than those with a centralized control system, and (2) organizational knowledge enables robots to complete the tasks which cannot be completed without it and contributes to reducing the steps for completing given tasks., ADVANCED ROBOTICS, TAYLOR & FRANCIS LTD, 12(3)243 - 269, 1998, English, Research paper (scientific journal)
  • Adaptation to multiple robots organization with organizational knowledge on formation
    K Takadama, K Hajiri, T Nomura, S Nakasuka, K Shimohara
    This paper extends our organizational learning model by introducing the mechanism of utilizing organizational knowledge to improve the collective performance, and focuses on how this organizational knowledge works for supporting new robots in the process of their adaptation to an organization of multiple robots. Through intensive simulations of truss construction by multiple robots, the following experimental results have suggested: (1) Robots with organizational knowledge complete given tasks in fewer iterations than those without organizational knowledge; (2) The steps with organizational knowledge become fewer as the number of robots increases; and (3) Organizational knowledge enables robots to complete given tasks which cannot be completed without organizational knowledge., FROM ANIMALS TO ANIMATS 5, M I T PRESS, 483 - 488, 1998, English, Research paper (international conference proceedings)
  • Design for sequence of behavior rules in multiple robots reinforcement learning
    K Takadama, K Hajiri, T Nomura, S Nakasuka, K Shimohara
    This paper proposes a novel method for storing a sequence of behavior rules in multiple robots reinforcement learning, and focuses on how a sequence of behavior rules works for getting out of deadlock situations and works for reducing both the steps and the iteration counts. Through intensive simulations of truss construction by multiple robots, the following experimental results have suggested: (1) Since the size of memory for storing a sequence of behavior rules is fixed in the proposed method, this method enables robots to acquire their own appropriate functions: (2) Robots with this method not only get out of deadlock situations but also complete given tasks both in few steps and few iteration counts., INTELLIGENT AUTONOMOUS SYSTEMS, I O S PRESS, 327 - 334, 1998, English, Research paper (international conference proceedings)
  • Neural network recognition of electro-encephalogram patterns preceding voluntary movements
    A Hiraiwa, N Uchida, K Shimohara, N Sonehara
    In the consideration of the human interface of a machine or computer, it is important to understand the limitations on the ultimate interface. One possible ultimate interface would be an input interface based on the electroencephalogram (EEG) pattern recognition. This approach was used in the past to detect the evoked response accompanying visual/aural stimulation of human subjects from the EEG. This study focuses on the possible information input to a computer or machine based on the potential distribution pattern on the human skull. The readiness potential detected from the skull immediately before voluntary movement, such as the hand motion or voluntary utterance, is recognized by a neural network. The result of such an approach is reported in this paper. For this purpose, experiments should be made to detect the intention of motion, in which the subject only ''thinks'' of moving. As a first step toward the goal, however, the actual motion is executed in this study, and the recognition of the immediately preceding potential pattern is attempted. A recognition rate of 53% is obtained for the average readiness potential resulting from the utterance of five vowels. A recognition rate of 96% is obtained for the average readiness potential preceding the operation of a joystick in four directions. In experiments based on the principle of an actual EEG input device, recognition of the potential distribution on the skull preceding a single trial voluntary movement was attempted. A recognition rate of 90% was obtained for the intention to utter one of two vowels. A recognition rate of approximately 60% was obtained in recognition of the intention to move the joystick in one of three directions. These were all recognition rates for unknown test patterns, and the results suggest the possibility of a future EEG interface based on recognition of the potential distribution pattern on the skull. (C) 1997 Scripta Technica, Inc., ELECTRONICS AND COMMUNICATIONS IN JAPAN PART III-FUNDAMENTAL ELECTRONIC SCIENCE, SCRIPTA TECHNICA-JOHN WILEY & SONS, 80(7)65 - 73, Jul. 1997, English, Research paper (scientific journal)
  • Hardware evolution system introducing dominant and recessive heredity
    T Hikage, H Hemmi, K Shimohara
    This paper proposes a new hardware evolution system - a new AdAM (Adaptive Architecture Methodology), that introduces dominant and recessive heredity through diploid chromosomes in order to increase genetic diversity. Dominant and recessive heredity is implemented by two techniques: one node of a tree-structured chromosome can have two sub-trees corresponding to alleles: Dominant or recessive attributes of a new pair of sub-trees is decided randomly. Simulations using the artificial ant problem show that the new AdAM is superior to the old one in adaptability and robustness in the face of a changeable environment., EVOLVABLE SYSTEMS: FROM BIOLOGY TO HARDWARE, SPRINGER-VERLAG BERLIN, 1259423 - 436, 1997, English, Research paper (scientific journal)
  • A computational group dialogue model with organizational learning
    K Takadama, K Hajiri, T Nomura, M Okada, K Shimohara, S Nakasuka
    This paper proposes a computational group dialogue model with organizational learning in which the agents adapt to, the groups through communication. Recently, as dementia becomes one of serious social problems, it is required to apply the model which has a mechanism of adaptation to the groups to dementia patients, in order that patients hare chances to adapt to the groups through communication. In the simulations, the agents communicate with other agents in the groups and learn their own dialogue strategics for adaptation to the groups with establishing their own opinions through communication., 1997 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT PROCESSING SYSTEMS, VOLS 1 & 2, IEEE, 174 - 179, 1997, English, Research paper (international conference proceedings)
  • Emergence of structure and function in evolutionary modular neural networks
    SB Cho, K Shimohara
    The concept of emergence takes an important role in the study of Artificial Life, but there is not so much work to exploit this concept in the design of neural networks. Moreover, many evolutionary neural networks have paid little attention to the fact that they can evolve from modules. This paper investigates the emergence of structure and functionality of modular neural networks through evolution. The model presented at this paper might not only develop new functionality spontaneously but also grow and evolve its own structure autonomously. We show the potential of the model by applying to a visual categorization task with handwritten digits. Sophisticated network architectures as well as functional subsystems emerge from an initial set of randomly-connected networks. Moreover, the evolved neural network has reproduced some of the characteristics of natural visual system, such as the organization of coarse and fine processing of stimuli in separate pathways., FOURTH EUROPEAN CONFERENCE ON ARTIFICIAL LIFE, M I T PRESS, 197 - 204, 1997, English, Research paper (international conference proceedings)
  • Formation of neural structures
    J Vaario, A Onitsuka, K Shimohara
    In this paper a new method for modeling the growth of neural structures is proposed. The motive of this research is to explore the possibilities for biologically plausible neural growth, and to study how neural based systems could be closely embodied into the environment where they exist. As a result of this research we have found a simple method based on diffusion field modeling to be able to control neural growth together with genetic factors, The simulation results show how neural structures are capable of creating a meaningful network to control the simple behaviors of an artificial creature in a simulated world, The environment control seduces the need for genetic control factors thereby providing faster evolution with a simple genetic coding., FOURTH EUROPEAN CONFERENCE ON ARTIFICIAL LIFE, M I T PRESS, 214 - 223, 1997, English, Research paper (international conference proceedings)
  • Numerical studies of resonance in a sinusoidally driven chaotic neuron model and its network
    S Mizutani, T Sano, T Uchiyama, N Sonehara, K Shimohara
    We study numerically stochastic resonance (SR) like phenomenon in a chaotic neuron model and its network driven by a weak sinusoid. This resonance phenomenon has a peak at a drive frequency as noise induced SR. However, it has a different mechanism from noise induced SR. Mean field of a summing network can enhance the signal-to-noise ratio (SNR) by the law of large numbers. Mean field of a global coupling network does not enhance the SNR. We discuss the mechanism which occurs resonance in the model., 1997 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, I E E E, 663 - 668, 1997, English, Research paper (international conference proceedings)
  • Human face classification for security system
    T Iso, Y Watanabe, K Shimohara
    INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, PROCEEDINGS - VOL III, IEEE, 479 - 482, 1996, English, Research paper (international conference proceedings)
  • Modular neural networks evolved by genetic programming
    SB Cho, K Shimohara
    1996 IEEE INTERNATIONAL CONFERENCE ON EVOLUTIONARY COMPUTATION (ICEC '96), PROCEEDINGS OF, IEEE, 681 - 684, 1996, English, Research paper (international conference proceedings)
  • On formation of structures
    J Vaario, K Shimohara
    This paper describes a method for a computer exploration of formation of structures based on the network of autonomous units. This method has a biological correspondence with morphogenetic processes. The interactions in the network of autonomous units are modeled by two kinds of forces: repulsive and attractive forces. When and what kind of forces are active at each unit is based on genetic information and environmental factors. Genetic information enables the use of evolutionary algorithms to evolve the interactions and thus to create new structures. Environmental factors provide the needed restrictions for the space of possible structures. Depending on what meaning is given to the units, the system is capable of simulating various kinds of emergent phenomena. For example, in the case where units are interpreted as cells, where. the repulsive and attractive forces represent collision and adhesion forces, a formation of multicellular organism can be achieved., ADVANCES IN ARTIFICIAL LIFE, SPRINGER-VERLAG BERLIN, 929421 - 435, 1995, English, Research paper (scientific journal)
  • SUBCONNECTION NEURAL-NETWORK FOR EVENT-DRIVEN TEMPORAL SEQUENCE PROCESSING
    K SHIMOHARA, T UCHIYAMA, Y TOKUNAGA
    A new recurrent neural network-the subconnection neural network (SCNN), which has feedback-to-weight connections-is proposed for event-driven temporal sequence processing. Approximated learning algorithms for the SCNN are derived after a discussion on the SCNN with respect to the recurrence relation in gradient computation. These learning algorithms are examined in three types of event-driven temporal sequence processes: permutation, combination, and integration. It is demonstrated that the SCNN with the simplest learning algorithm is sufficiently powerful to handle all three temporal sequence processes. Simulations confirm the superiority of the SCNN over Elman's and Jordan's networks., NEURAL NETWORKS, PERGAMON-ELSEVIER SCIENCE LTD, 6(5)709 - 718, 1993, English, Research paper (scientific journal)
  • EMG/EEG PATTERN-RECOGNITION BY NEURAL NETWORKS
    A HIRAIWA, N UCHIDA, K SHIMOHARA
    CYBERNETICS AND SYSTEMS RESEARCH 92, VOLS 1 AND 2, WORLD SCIENTIFIC PUBL CO PTE LTD, 1383 - 1390, 1992, English, Research paper (international conference proceedings)
  • AN APPROACH FOR SOLVING DYNAMIC TSPS USING NEURAL NETWORKS
    K SHINOZAWA, T UCHIYAMA, K SHIMOHARA
    1991 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-3, INST ELECTRICAL ENGINEERS, 2450 - 2454, 1991, English, Research paper (international conference proceedings)
  • EEG TOPOGRAPHY RECOGNITION BY NEURAL NETWORKS
    A HIRAIWA, K SHIMOHARA, Y TOKUNAGA
    IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 9(3)39 - 42, Sep. 1990, English, Research paper (scientific journal)
  • PERSONAL TELEPHONE SERVICES USING IC-CARDS
    N MATSUO, K SHIMOHARA, H MATSUI, Y TOKUNAGA
    IEEE COMMUNICATIONS MAGAZINE, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 27(7)41 - 48, Jul. 1989, English, Research paper (scientific journal)
  • NUMERICAL-ANALYSIS OF A THIN-FILM WAVE-GUIDE BY MODE-MATCHING METHOD
    K YASUURA, K SHIMOHARA, T MIYAMOTO
    JOURNAL OF THE OPTICAL SOCIETY OF AMERICA, AMER INST PHYSICS, 70(2)183 - 191, 1980, English, Research paper (scientific journal)

Misc

  • 人間活動が媒介するシステム境界の相互浸透-ツリーをリゾームで編む-
    SHIMOHARA Katsunori
    計測と制御, 55(8)680 - 685, Aug. 2016
  • System of Systems コンセプトと超スマート社会
    SHIMOHARA Katsunori
    計測と制御, 55(4)288 - 290, Apr. 2016
  • Coevolutionary Dynamics between Roles and Social Sensitivity in an Extended Minority Game
    Keita Nishimoto, Ivan Tanev, Katsunori Shimohara, Reiji Suzuki, Takaya Arita
    Proceedings of the Thirteenth International Conference on the Simulation and Synthesis of Living Systems (ALIFE XIII), 226-233 , 21 Jul. 2012, English, Research paper, summary (national, other academic conference)
  • Lexical Entrainment in Human-Robot Interaction: Can Robots Entrain Human Vocabulary?
    飯尾 尊優, 塩見 昌裕, 篠沢 一彦, 宮下 敬宏, 秋本 高明, 下原 勝憲, 萩田 紀博
    本研究では,人間とロボットの円滑な対話を実現するために,人間とロボットの言語的なインタラクションに注目する.これまで,ヒューマンロボットインタラクションの分野では,擬人的な身体を利用した非言語的なインタラクションに関する研究がさかんに行われてきた.こうした研究は,人間とロボットの間に,身体動作の引き込みのような同調現象が発生することを明らかにしてきた.一方,言語的なインタラクションにおいては,このような同調現象は報告されていない.そこで本稿では,ヒューマンコンピュータインタラクションで観測されている語彙の引き込み現象に関する知見を基に,ヒューマンロボットインタラクションにおける語彙の引き込みについて検討を試みる.語彙の引き込みとは,ある人間が対話をしているとき,その人間の使用する語が対話の相手の使用する語に引き込まれるという現象である.我々は,ヒューマンロボットインタラクションに特有な語彙の引き込み現象を見出すため,人間とロボットが環境中の物体についての対話を行うという状況を設定し,インタラクション評価実験を行った.その結果,ロボットは,人間の発話で使用される語彙を,自分の使用する語彙に引き込めることが明らかになった.この語彙の引き込みは,ロボットの効率的な音声認識を支援するための対話設計に応用可能だと考えている.In this paper, we focus on interaction of verbal information between a human and a robot. Many studies discuss an importance of non-verbal interaction, for it provides us a smooth communication with a robot. However, after all, what we use to convey our meaning is verbal information, and so we believe that consideration for this verbal interaction is also as important for achievement of the smooth communication as the non-verbal interaction. This paper discusses lexical entrainment in human-robot interaction, which is a phenomenon that people are likely to adopt terms of their partners in dialogue. While the phenomenon has been more studied in human-computer interaction, few studies have been in human-robot interaction. To find lexical entrainment peculiar to human-robot interaction, we exhibited situations where a human and a robot have a dialogue about objects in an environment, and conducted verification and evaluation experiments for lexical entrainment in human-robot interaction. As the results, we revealed that lexical entrainment occurred in human-robot interaction and measured how often it occurred in several situations. We expect that our approach enables robots to improve performance of recognition of an indicated object., 情報処理学会論文誌, 51(2)277 - 289, 15 Feb. 2010, Japanese
  • 4V-2 Proposal of DLNA/UPnP Device Interaction Using Peer to Peer Overlay Networks
    Yoshioka Toshihide, Kadowaki Kohei, Koita Takahiro, Sato Kenya, Ivan Tanev, Shimohara Katunori
    全国大会講演論文集, 一般社団法人情報処理学会, 71(3)"3 - 231"-"3-232", 10 Mar. 2009, Japanese
  • 3W-2 Cooperative Platform for Netowork Robots by Using Mobile Agent
    Yamada Tomomi, Sato Kenya, Koita Takahiro, Ivan Tanev, Shimohara Katsunori
    全国大会講演論文集, 一般社団法人情報処理学会, 71(3)"3 - 313"-"3-314", 10 Mar. 2009, Japanese
  • Interpretation by Implementation : An Approach to Multiagent Design Principle
    TAKADAMA Keiki, TERANO Takao, SHIMOHARA Katsunori
    人工知能学会全国大会論文集 = Proceedings of the Annual Conference of JSAI, 人工知能学会, 14571 - 574, 03 Jul. 2000, Japanese
  • Superadditive Effect of Multi-robot Coordination in the Exploration of Unknown Environments via Stigmergy
    Shimohara, K
    Neurocomputing, Elsevier (to appear), 2012
  • Advanced Control and Signal Processing Paradigms in the New Millennium --- for Nano-Bio-Communication and Information Processing System
    Shimohara, K
    Tutorial, SICE Annual Conf. 2007, 1577 - 1581, 2007
  • Biomolecular Computation for Bionanotechnology
    Artech House, 298 , 2007
  • Biomolecular Computation by Nanobiotechnology
    Boston: Artech House, to appear in December, 2006, 2007
  • Learning Classifier System with Convergence and Generalization
    "Fundations of Learning Classifier Systems", Springer, 285 - 304, 2005
  • Molecular computing by signaling pathways
    JQ Liu, K Shimohara
    To reduce the computing cost (i.e., the molecular number and time) of molecular computers by using DNA, RNA, and other biomolecules is an important task for enhancing their computing performance with parallelism obtained by biological implementation. For this purpose, we propose a new molecular computing method, namely, computing with Rho family GTPases, which differs from the Adleman-Lipton paradigm of DNA computing [1.9] and surfaced-based techniques [2]. This method employs the signaling pathways (the pathways of Rho family GTPases) of in situ cells that are formalized as a special kind of hypergraph rewriting, thus forming &quot;conceptualized pathway objects&quot; that systematically guarantee the rigorousness of massive parallel computing processes. The 3-SAT problem is used as a benchmark for testing the algorithm of our method. The initial values, the given clauses of the 3-SAT problem, are encoded as signaling molecules and treated as cell input by means of inter-cell communication. Then, after being transmitted by the sender molecules of the cells' skeleton, these molecules are accepted by the receptor molecules within the cells. Consequently, the pathways of the cells are activated to generate candidate solutions in the reactant molecules' form in parallel. The process of making these molecules interact in a stepwise manner is carried out recursively based on the implicit constraints within the problem solving itself. Depending on the complexity of the biological mechanism of the molecules for biochemical reactions in the cells. a high degree of autonomy, both in computation theory and in biological faithfulness, is obtained by the entire computing process. By applying our method to solve 3-SAT problems, we have obtained a space complexity of O(m x n) and a time complexity of O(m), where in is the number of clauses and n is the number of variables. The experimental results obtained from a corresponding software simulator (implementation) of our method show that the algorithm that we have obtained is efficient from the viewpoint of computing costs and that it also has reasonable biological faithfulness with a strong potential for further biological implementation by cells in situ., INFORMATION PROCESSING WITH EVOLUTIONARY ALGORITHMS, SPRINGER-VERLAG LONDON LTD, 269 - 284, 2005, English
  • THE X-MAS SYSTEM Toward simulation systems for cross-model-validationof multiagent-based simulations
    "Meeting the Challenge of Social Problems via Agent-based Simulation", Springer, 171 - 184, 2002
  • The hare and the tortoise - Cumulative progress in agent-based simulation
    K Takadama, K Shimohara
    Agent-based simulation is one of the potential approaches for understanding complex organizational and social phenomena. However, this approach has a serious problem characterized as a lack of cumulative progress. To tackle this problem, this paper investigates the main causes of the problem and explores some solutions. Through an analysis, the following implications are revealed: (1) cumulative progress in an agent-based approach is promoted by (a) the sharing of common results, (b) the development of standard computational models, (c) the replicating of older works, and/or (d) the creation of standard evaluation criteria; our approach has great potential for promoting cumulative progress in an agent-based approach in terms of achieving the above four points; and (2) the factors found in our approach have the high possibility of being a fundamental process in the real world, supporting the KISS principle, and being utilized as toolkits., AGENT-BASED APPROACHES IN ECONOMIC AND SOCIAL COMPLEX SYSTEMS, I O S PRESS, 723 - 14, 2002, English
  • Artificial Life in HyperReality
    "HyperReality, Infrastructure for the Third Millennium", Routledge, 80 - 98, 2001
  • Towards a Multiagent Design Principle: Analyzing an Organizational-Learning Oriented Classifier System
    "Autonomous Systems", Springer-Verlag, 147 - 168, 2001
  • Grammatical Learning Model for Adaptive Collective Behaviors in Multiple Robots
    "Grammatical Model of Multi Agent Systems", Gordon and Breach Science Publishers, 343 - 355, 1999
  • Modeling Environment Sensitive L-Systems
    SHIMOHARA, K
    Kyoto Conf. on Mathematical Biology '96, (KCMB'96), 1996
  • Development and Evolution of Hardware Behaviors
    "Towards Evolvable Hardware", Springer-Verlag, 250 - 265, 1996
  • AN INFORMATION TERMINAL FOR A LOCAL-COMMUNITY
    K SHIMOHARA, Y TOKUNAGA, H MATSUI
    IEEE COMMUNICATIONS MAGAZINE, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 26(5)52 - 58, May 1988, English
  • AN INFORMATION TERMINAL FOR A LOCAL-COMMUNITY
    K SHIMOHARA, Y TOKUNAGA, H MATSUI
    IEEE COMMUNICATIONS MAGAZINE, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 26(5)52 - 58, May 1988, English

Books etc

  • Engineering Creative Design in Robotics and Mechatronics
    T. Kuyucu, I. Tanev, K. Shimohara
    IGI Global, Jun. 2013, Joint author, Efficient Evolution of Modular Robot Control via Genetic Programming
  • 人類が生かされる社会
    小佐野峰忠, 下原勝憲, 安田喜憲
    カキツ出版部, Feb. 2012, Joint author
  • 文明を科学する
    小佐野峰忠, 下原勝憲, 安田喜憲
    カキツ出版部, Feb. 2012, Joint author
  • Multi-Agent Systems–Modeling, Interactions, Simulations and Case Studies
    Iio, Y, Tanev, I, Shimohara, K, Miki, M
    InTech, Mar. 2011, Joint author, Evolutionary adaptive behavior in noisy multi-agent system
  • 感性と情報
    SHIMOHARA Katsunori
    森北出版, Aug. 2007, Joint author, 人工情動―感性技術としてのコミュニケーション創発機構
  • Biomolecular Computation by Nanobiotechnology
    LIU, J.Q, SHIMOHARA, K
    Artech House, Jan. 2007, Joint author
  • Mobile Robotics, Towards New Applications
    TANEV, I, RAY, T, SHIMOHARA, K
    Advanced Robotics Systems and pro literatur Verlag, Dec. 2006, Joint author, On the Analogy in the Emergent Properties of Evolved Locomotion Gaits of Simulated Snakebot
  • Agent-Based Modeling Meets Gaming Simulation
    Suematsu, Y.L, Takadama, K, Shimohara, K, Katai, O, Arai, K
    ABSS, May 2006, Joint author, Analyzing Barnga Gaming Simulation Using an Agent-Based Model
  • Fundations of Learning Classifier Systems
    WADA, A, TAKADAMA, K, SHIMOHARA, K, KATAI, O
    Springer, Oct. 2005, Joint author, Learning Classifier System with Convergence and Generalization
  • Information Processing with Evolutionary Algorithms: From Industrial Applications to Academic Speculations
    LIU, J.Q, SHIMOHARA, K
    Springer-Verlag, Feb. 2005, Joint author, Molecular Computing by Signaling Pathways
  • HyperReality, Infrastructure for the Third Millennium
    SHIMOHARA Katsunori
    Routledge, Oct. 2001, Joint author, Artificial Life in HyperReality
  • New Frontiers in Artificial Intelligence
    TAKADAMA, K, SHIMOHARA, K
    Springer, Oct. 2001, Joint author, Toward Cumulative Progress in Agent-Based Simulation
  • Intelligent Agents: Specification, Modeling, and Applications
    NAWA, N.E, SHIMOHARA, K, KATAI, O
    Springer, Jul. 2001, Joint author, On Fairness in an Alternating-Offers Bargaining Model with Evolutionary Agents
  • Autonomous Systems
    TAKADAMA, K, TERANO, T, SHIMOHARA, K, Koichi HORI, K, NAKASUKA, S
    Springer-Verlag, Jun. 2001, Joint author, Towards a Multiagent Design Principle: Analyzing an Organizational-Learning Oriented Classifier System
  • 22世紀への手紙
    SHIMOHARA Katsunori
    NTT出版, Mar. 2001, Joint author, 情報としてのゲノム
  • Meeting the Challenge of Social Problems via Agent-based Simulation
    SUEMATSU, Y.L, TAKADAMA, K, NAWA, N. E, SHIMOHARA, K, KATAI, O
    Springer, Oct. 2000, Joint author, THE X-MAS SYSTEM Toward simulation systems for cross-model-validationof multiagent-based simulations
  • Agent-Based Approaches in Economic and Social Complex Systems
    TAKADAMA, K, SHIMOHARA, K
    The IOS Press, Mar. 2000, Joint author, The Hare and the Tortoise --Cumulative Progress in Agent-Based Simulation-
  • Grammatical Model of Multi Agent Systems
    TAKADAMA, K, HAJIRI, K, NOMURA, T, SHIMOHARA, K, NAKASUKA, S
    Gordon and Breach Science Publishers, Jan. 1999, Joint author, Grammatical Learning Model for Adaptive Collective Behaviors in Multiple Robots
  • 複雑系の理論と応用
    SHIMOHARA Katsunori
    オーム社, Nov. 1998, Joint author, 人工生命の基礎と応用
  • 人工生命と進化するコンピュータ
    SHIMOHARA Katsunori
    Jun. 1998, Sole author
  • 人工生命と進化システム
    下原勝憲, 邊見均, RAY, T, VAARIO, J, 和田健之介, 溝口潤一, DE GARIS, H, 今田彬
    東京電機大学出版局, Mar. 1998, Joint editor
  • Artificial Life V, Proceedings of the Fifth International Workshop on the Synthesis and Simulation of Living Systems
    LANGTON, C.G, SHIMOHARA, K
    MIT Press, Jun. 1997, Joint editor
  • Towards Evolvable Hardware
    HEMMI, H, MIZOGUCHI, J, SHIMOHARA, K
    Springer-Verlag, Mar. 1996, Joint author, Development and Evolution of Hardware Behaviors
  • 人工生命の方法
    SHIMOHARA Katsunori
    工業調査会, Nov. 1995, Joint editor, 人工生命パラダイム・人工生命の歴史・人工生命の現状・発生/発達モデル・脳コミュニケーションのための進化システムの研究
  • 感性・人間・コンピュータ
    SHIMOHARA Katsunori
    富士通経営研究所, Sep. 1995, Joint author, 感性と理性を結ぶ「人工生命」
  • ニューラルネットワーク応用
    SHIMOHARA Katsunori
    オーム社, Jul. 1995, Joint author, ニューラルネットワークとコンピュータ
  • 遺伝的アルゴリズム2
    SHIMOHARA Katsunori
    産業図書, May 1995, Joint author, 行動型ハードウェアの進化
  • 人工生命の近未来
    SHIMOHARA Katsunori
    Jiji Press Ltd., Oct. 1994, Joint author, Evolution of Brain Communications
  • 仮想現実学への序曲
    SHIMOHARA Katsunori
    Kyoritsu Shuppan Co., Ltd., Aug. 1994, Joint author, Artificial Life
  • Evolutionary adaptive behavior in noisy multi-agent system
    Multi-Agent Systems–Modeling, Interactions, Simulations and Case Studies, (Eds.) Alkhateeb, F.,Maghayreh, E. A., and Doush, I. A., InTech, 2011
  • Analyzing Barnga Gaming Simulation Using an Agent-Based Model
    Agent-Based Modeling Meets Gaming Simulation, ABSS, 2006

Conference Activities & Talks

  • Advanced Control and Signal Processing Paradigms in the New Millennium --- for Nano-Bio-Communication and Information Processing System
    Liu, J.Q, Shimohara, K
    SICE Annual Conf. 2007, 17 Sep. 2007, English, Public lecture, seminar, tutorial, course, or other speech
  • Evolution, Adaptation and Robustness of Simulated Snake-like Robot
    下原 勝憲
    The 2nd Biomimetics International Conference, Doshisha, 2006
  • Visualization System of Large Scale Gene Interaction Network
    下原 勝憲
    The 2nd Biomimetics International Conference, Doshisha, 2006
  • Kinase Computing As an Algorithm of Biomolecular Computation
    下原 勝憲
    The 2nd Biomimetics International Conference, Doshisha, 2006
  • Computational Analysis of Biological Signal Tansduction Networks
    下原 勝憲
    The 2nd Biomimetics International Conference, Doshisha, 2006
  • HCI Innovations in Japan
    Katsunori Shimohara, Tomio Watanabe, Kumiyo Nakakoji
    HCII 2005, 22 Jul. 2005, English, Public lecture, seminar, tutorial, course, or other speech

Research Grants & Projects

  • Design of Relationships

Research Seeds

  • Development of emergent mechanism of artificial society and complicated system by genetic programming
    Research Fields: Information and Communication
    Affiliation/Name: Katsunori Shimohara:Ivan Tanev