国際会議

 

2018

 

  • Fumito Uwano and Keiki Takadama:

    “Ensemble Heart Rate Extraction Method for Biological Data from Water Pressure Sensor”,
    AAAI Spring Symposium 2018, May 2018, Stanford University (San Francisco), The United States of America.Download »

  • Fumito Uwano, Haruyuki Ishii, Yuta Umenai, Kazuma Matsumoto, Takato Tatsumi, Akinori Murata, and Keiki Takadama:

    “Analyzing Triangle Matching Method Based on Craters for Spacecraft Localization”,
    the 14th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS 2018), June 2018, Madrid, Spain.

  • Fumito Uwano, Koji Dobashi, Keiki Takadama, and Tim Kovacs:

    “Generalizing Rules by Random Forest-based Learning Classifier Systems for High-Dimensional Data Mining”,
    21st International Workshop on Learning Classifier Systems (IWLCS 2018), July 2018, Kyoto, Japan.

  • Yuta Umenai, Fumito Uwano, Hiroyuki Sato, and Keiki Takadama:

    “Multiple Swarm Intelligence Methods based on Multiple Population with Sharing Best Solution for Drastic Environmental Change”,
    The Genetic and Evolutionary Computation Conference (GECCO 2018), July 2018, Kyoto, Japan.

 

2017

 

  • Takato Tatsumi, Hiroyuki Sato, Keiki Takadama:

    “Automatic Adjustment of Selection Pressure based on Range of Reward in Learning Classifier System”,
    Genetic and Evolutioary Computation Conference (GECCO), July 2017, Berlin, Germany.Download »

  • Akinori Murata,Hiroyuki Sato and Keiki Takadama:

    “Towards Adaptive Aircraft Landing Order with Aircraft Routes Partially Fixed by Air Traffic controllers as Human Intervention”,
    the 19th International Conference on Human-Computer Interaction(HCII2017), July 2017, Vancouver, Canada.

  • Takato Tatsumi, Hiroyuki Sato, Tim Kovacs, Keiki Takadama:

    “Applying Variance-based Learning Classifier System without Convergence of Reward Estimation into Various Reward Distribution”,
    IEEE Congress on Evolutionary Computation (CEC), June 2017, Donostia, Spain.Download »

  • 2016

     

    • Fumito Uwano and Keiki Takadama:

      “Communication-less Cooperative Q-learning Agents in Maze Problem”,
      The 20th Asia-Pacific Symposium on Intelligent and Evolutionary Systems (IES 2016), November 2016, Canberra, Australia.

    • Akinori Murata,Hiroyuki Sato and Keiki Takadama:

      “Opitimization of Aircraft Landing Route and Order Based on Novelty search”,
      The 20th Asia-Pacific Symposium on Intelligent and Evolutionary Systems (IES 2016), November 2016, Canberra, Australia.

    • Yuta Umenai, Fumito Uwano, Yusuke Tajima, Masaya Nakata, Hiroyuki Sato, Keiki Takadama:

      “A Modified Cuckoo Search for Dynamic Optimization Problems”,
      IEEE Congress on Evolutionary Computation (CEC), July 2016, Vancouver, CANADA.

    • Kazuma Matsumoto, Rei Saito, Yusuke Tajima, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama:

      “Learning Classifier System with Deep Autoencoder”,
      IEEE Congress on Evolutionary Computation (CEC), July 2016, Vancouver, CANADA.

    • Takato Tatsumi, Takahiro Komine, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama:

      “Variance-based Learning Classifier System without Convergence of Reward Estimation”,
      Genetic and Evolutioary Computation Conference (GECCO), July 2016, Denver, USA.Download »

    • Fumito Uwano, Akinori Murata, Keiki Takadama:

      “Adaptive Learning Based on Genetic Algorithm for The Rover in Planetary Exploration”,
      The International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS 2016), June 2016, Beijing, China.

    • Rei Saito, Akinori Murata, Keiki Takadama:

      “Possibility of Education Project based on CanSat”,
      The International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS 2016), June 2016, Beijing, China.

    • Rei Saito, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama:

      “Preventing Incorrect Opinion Sharing with Weighted Relationship among Agents”,
      The 18th International Conference on Human-Computer Interaction, Relationality Design and Relationality-oriented Systems in Space (HCII 2016), July 2016, Toronto, Canada.

    2015

     

    • Fumito Uwano, Naoki Tatebe, Masaya Nakata, Tim Kovacs, Keiki Takadama:

      “Reinforcement Learning with Internal Reward for Multi-Agent Cooperation: A Theoretical Approach”,
      9 th EAI International Conference on Bio-inspired Information and Communications Technologies (BICT 2015), December 2015, New York, United States.

    • Akinori Murata, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama:

      “Optimization of Aircraft Landing Route and Order: An approach of Hierarchical Evolutionary Computation”,
      9 th EAI International Conference on Bio-inspired Information and Communications Technologies (BICT 2015), December 2015, New York, United States.

    • Naoki Tatebe, Kiyohiko Hattori, Toshinori Kagawa, Yasunori Owada, Kiyoshi Hamaguchi, Keiki Takadama:

      “Deployment of Wireless Mesh Network Using RSSI-Based Swarm Robots”,
      The First International Symposium on Swarm Behavior and Bio-Inspired Robotics (SWARM 2015), October 2015, Kyoto, Japan.

    • Sayaka Morimoto, Keiki Takadama, Takahiro Majima, Daisuke Watanabe, Mitujiro Katuhara:

      “Multi-agent based Bus Route Optimization with Passenger Overflow Cascades Tolerance in Disaster Situations”,
      The First International Symposium on Swarm Behavior and Bio-Inspired Robotics (SWARM 2015), October 2015, Kyoto, Japan.

    • Kotaro Usui, Tomohiro Harada, Keiki Takadama, Hiroyuki Kamata, Seisuke Fukuda, Shujiro Sawai, Shinichiro Sakai:

      “Adjusting SLIM Spacecraft Location Estimation to Crater Detection for High Precision and Computational Time Reduction”,
      The 30th International Symposium on Space Technology and Science (ISTS 2015), 2015-t-14, July 2015, Kobe-Hyogo, Japan.

    • Takato Tatsumi, Takahiro Komine, Hiroyuki Sato, Keiki Takadama:

      “Handling Different Level of Unstable Reward Environment Through an Estimation of Reward Distribution in XCS”,
      IEEE Congress on Evolutionary Computation (CEC) 2015, May 25-28, 2015, Sendai, Japan.Download »

    • Minato Sato, Kotaro Usui, Masaya Nakata, Keiki Takadama:

      “Detecting Shoplifting From Customer Behavior Data by Extended XCS-SL: Towards Feature Extraction on Class-Imbalanced Sequence Data”,
      IEEE Congress on Evolutionary Computation (CEC) 2015, May 25-28, 2015, Sendai, Japan.

    2014

     

    • Takahiro Jinba, Tomohiro Harada, Hiroyuki Sato, Keiki Takadama:

      “Multi Objective Optimization for Route Planning and Fleet Assignment in Regular and Non-regular Flights”,
      18th Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES 2014), November 2014, Nanyang View, Singapore.

    • Ryo Takano, Tomohiro Harada, Hiroyuki Sato, Keiki Takadama:

      “Artificial Bee Colony Algorithm based on Local Information Sharing in Dynamic Environment”,
      18th Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES 2014), November 2014, Nanyang View, Singapore.

    • Sayaka Morimoto, Takahiro Jinba, Hiroto Kitagawa, Keiki Takadama, Takahiro Majima, Daisuke Watanabe, Mitsujiro Katsuhara:

      “Multi-agent based Bus Route Optimization for Restricting Passenger Traffic Bottlenecks in Disaster Situations”,
      18th Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES 2014), November 2014, Nanyang View, Singapore.

    • Tomohiro Harada, Keiki Takadama:

      “Asynchronously Evolving Solutions with Excessively Different Evaluation Time by Reference-based Evaluation”,
      Genetic and Evolutionary Computation Conference 2014 (GECCO 2014), July 2014, Vancouver, Canada.

    • Masaya Nakata, Pier Luca Lanzi, Tim Kovacs, Keiki Takadama:

      “Complete action map or Best action map in Accuracy-based Reinforcement Learning Classifier Systems”,
      Genetic and Evolutionary Computation Conference 2014 (GECCO 2014), July 2014, Vancouver, Canada.

    • Masaya Nakata, Tim Kovacs, Keiki Takadama:

      “XCS Classifier System for Time-Series Classification”,
      Genetic and Evolutionary Computation Conference 2014 (GECCO 2014), July 2014, Vancouver, Canada.

    • Kotaro Usui, Masaya Nakata, Keiki Takadama:

      “Reusable Knowledge by Linkage-Classifier in Accuracy-based Learning Classifier System”,
      The Sixth World Congress on Nature and Biologically Inspired Computing 2014 (NaBIC2014), July 2014, Porto, Portugal.

    • Tomohiro Harada, Keiki Takadama:

      “Maintaining, Minimizing, and Recovering Machine Language Program through SEU in On-Board Computer”,
      12th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS2014), June 2014, Montreal, Canada.

    • Tomohiro Harada, Keiki Takadama:

      “Asynchronous Evolution by Reference-based Evaluation: Tertiary Parent Selection and its Archive”,
      17th European Conference on Genetic Programming (EuroGP2014), April 2014, Granada, Spain.

    • Naoki Tatebe,Kiyohiko Hattori,Toshinori Kagawa,Yasunori Owada,Kiyoshi Hamaguchi:

      “Energy-efficient construction algorithm for mobile mesh networks”,
      20th Asia-Pacific Conference on Communications (APCC2014), pp.73-77, October, 2014, Pattaya, Thailand.

       

    2013

     

    • Masaya Nakata, Pier Luca Lanzi, Keiki Takadama:

      “Selection Strategy for XCS with Adaptive Action Mapping”,
      Genetic and Evolutionary Computation Conference 2013 (GECCO 2013), pp.1085-1092, July 2013, Amsterdam, Netherlands.

       

    • Masaya Nakata, Pier Luca Lanzi, Keiki Takadama:

      “Simple Compact Genetic Algorithm for XCS”,
      IEEE Congress on Evolutionary Computation 2013 (CEC 2013), pp.1718-1723, June 2013, Cancun, Mexico.

       

    • Harada, T., Takadama, K.:

      “Analyzing Program Evolution in Genetic Programming using Asynchronous Evaluation”,
      In Pietro Liò, Orazio Miglino, Giuseppe Nicosia, Stefano Nolfi and Mario Pavone editors, Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems, ECAL 2013, pp. 713-720, Taormina, Italy, 2013.

       

    • Harada, T., Takadama, K.:

      “Asynchronous Evaluation based Genetic Programming: Comparison of Asynchronous and Synchronous Evaluation and its Application”,
      In Krzysztof Krawiec and Alberto Moraglio and Ting Hu and A. Sima Uyar and Bin Hu editors, Proceedings of the 16th European Conference on Genetic Programming, EuroGP 2013, vol. 7831, pp. 241-252, Vienna, Austria, 2013.

       

    • Kitagawa, H., Sato, K., Takadama, K., Sato, H., Hattori, K.:

      “Robust Bus Route Optimization to Destruction of Roads”,
      The Fifth International Workshop on Emergent Intelligence on Networked Agents (WEIN’13), 2013

       

    2012

     

    • Masaya Nakata, Pier Luca Lanzi, Keiki Takadama:

      “Enhancing Learning Capabilities by XCS with Best Action Mapping”,
      Parallel Problem Solving From Nature (PPSN XII), LNCS7491, Springer, pp.256-265, September 2012, Taormina, Italy.

       

    • Masaya Nakata, Pier Luca Lanzi, Keiki Takadama:

      “XCS with Adaptive Action Mapping”,
      The Ninth International Conference on Simulated Evolution And Learning (SEAL 2012), LNCS7673, Springer, pp.138-148, December 2012, Hanoi, Vietnam.

       

    • Tajima, Y., Nakata, M., Matsushima, H., Sato, H., Hattori, K., Takadama, K.:

      “Evolutionary Algorithm for Uncertain Evaluation Function”,
      The 16th International Symposium on Intelligent and Evolutionary Systems(IES2012), pp.40-45, Dec. 2012.

       

    • Jimba, T., Kitagawa, H., Azuma, E., Sato, K., Sato, H., Hattori, K., Takadama, K.:

      “Towards Network Optimization of Regular and Non-regular Flights”,
      The 16th International Symposium on Intelligent and Evolutionary Systems(IES2012), pp.124-128, Dec. 2012.

       

    • Ichikawa, Y., Takadama, K.:

      “Designing Internal Reward of Reinforcement Learning Agents for Conflict Avoidance in Multi-step Dilemma Problem”,
      The 16th International Symposium on Intelligent and Evolutionary Systems(IES2012), pp.152-157, Dec. 2012.

       

    • Harada, T., Ichikawa, Y., Takadama, K.,:

      “Evolving Conditional Branch Programs in Tierra-based Asynchronous Genetic Programming”
      The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligent Systems (SCIS-ISIS 2012), pp. 1023-1028, T1-44-2, 2012.

       

    • Azuma, E., Sato, K., Takadama, K., Sato, H., Hattori, K.:

      “Ship Route Optimization by Multi-Objective Evolutionary Computation based on Dynamic Reference Point”
      International Conference on Humanized Systems(ICHSS2012), 2012.

       

    • Azuma, E., Sato, K., Takadama, K., Sato, H., Hattori, K.:

      “Optimizing Ship Routes by Evolutionary Computation in Competitive Ship Companies”
      International Workshop on Modern Science and Technology(IWMST2012), 2012.

       

    • Kitagawa, H., Sato, K., Takadama, K., Sato, H., Hattori, K.:

      “Cluster-based Bus Route Optimization for Stranded Persons in Disaster,”
      International Conference on Humanized Systems(ICHSS2012), 2012.

       

    • Kitagawa, H., Sato, K., Takadama, K., Sato, H., Hattori, K.:

      “Robust Bus Route Optimization by Connecting Routes,”
      International Workshop on Modern Science and Technology(IWMST2012), 2012.

       

    • Harada, T., Usami, R., Takadama, K., Kamata, H., Ozawa, S., Fukuda, S., Sawai, S.:

      “Computational Time Reduction of Evolutionary Spacecraft Location Estimation toward Smart Lander for Investigating Moon,”
      The 11th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS2012), 2012.

       

    • Takadama, K.:

      “Exploring Individual Care Plan for a Good Sleep,”
      The AAAI 2012 Spring Symposia, AAAI (The Association for the Advancement of Artificial Intelligence), pp. 60–64, 2012.

       

    • Matsushima, H., Minami, S., and Takadama, K.:

      “Age-based Sleep Stage Estimation by Evolutionary Algorithm,”
      The AAAI 2012 Spring Symposia, AAAI (The Association for the Advancement of Artificial Intelligence), pp. 42–47, 2012.

       

    2011

     

    • Otani, M., Hattori, K., Sato, H., and Takadama, K.:

      “Cooperation among Multiple Robots by Collecting Broken Robots in Large-Scale Structure Assembly,”
      The 2011 IEEE/SICE International Symposium on System Integration (SII 2011), 2011, to appear.

       

    • Azuma, E., Shimada, T., Takadama, K., Sato, H., and Hattori, K.:

      “The Biased Mnulti-Objective Optimization using the Reference Point: toward the industrial logistics network,”
      Special Session on Learning in evolving environments and its application on real-world problems,The Ten International Conference on Machine Learning and Applications (ICMLA2011), Vol. 2 , pp. 27–30, 2011.

       

    • Sato, K., Iseya, S., Takadama, K., Sato, H., and Hattori, K.:

      “Evolutionary Optimization for Feeder Route Network using Multi-Objective Clustering”
      The 15th International Symposium on Intelligent and Evolutionary Systems(IES2011), pp.76-83, 2011.

       

    • Matsushima, H., Hirose, K., Hattori, K., Sato, H., and Takadama, K.:

      “Sleep Stage Estimation By Evolutionary Computation Using Heartbeat Data and Body-Movement,”
      The 15th International Symposium on Intelligent and Evolutionary Systems (IES 2011), pp. 103–110, 2011.

       

    • Shimada, T., Matsushima, H., and Takadama, K.:

      “Multi-objective Constrained Optimization Evolutionary Algorithm by Concurrent Solution Search in Feasible and Infeasible Area”
      The 15th International Symposium on Intelligent and Evolutionary Systems(IES2011), pp.111-116, 2011.

       

    • Harada T. and Takadama, K.:

      “Adaptive Mutation Depending on Program Size in Asynchronous Program Evolution”
      the World Congress on Nature and Biologically Inspired Computing (NaBIC2011), pp.440-445, 2011.

       

    • Nakata, M., Sato, F., and Takadama K.:

      “Towards Generalization by Identification-based XCS in Multi-Steps Problem”
      the World Congress on Nature and Biologically Inspired Computing (NaBIC2011), pp.396-401, 2011.

       

    • Majima, T., Watanabe, D., Takadama, K., and Katsuhara, M.:

      “Support System for Transportation under Disaster Circumstance”
      SICE Annual Conference 2011, pp. 137–142, 2011.

       

    • Nakada, T. and Takadama, K.:

      “Agent-based Modeling Using XCS in Greenhouse Gas Emissions Trading Market”
      SICE Annual Conference 2011, pp. 519–523, 2011.

       

    • Ushida, Y. and Takadama, K.:

      “Classification of Collective Adaptive Situations in Cross-Cultural Game by Fuzzy C-Means Clustering”
      Sice Annual Conference 2011.

       

    • Muramatsu, N., Takadama, K., and Sakamoto, M.:

      “Optimal Positions of Advertisements on News Websites Focusing on Three Conflicting Objectives,”
      The IADIS Interfaces and Human Computer Interaction 2011 Conference (IHCI 2011), pp. 394–398, 2011.

       

    • Tanaami, T., Takeda, Y., Aoyama, N., Mizumi, S., Kamata, H., Takadama, K., Ozawa, S., Fukuda, S., and Sawai, S.:

      “Crater Detection using Haar-Like Feature for Moon landing System Based on the Surface Image,”
      The 28th International Symposium on Space Technology and Science: ISTS 2011), 2011-d-37, 2011.

       

    • Hattori, K., Nakata, M., Ichikawa, Y., Otani, M., Matsushima, H., and Takadama, K.:

      “The proposal of the planetary exploration system with the cooperation and sequential movement of two micro rovers,”
      The 28th International Symposium on Space Technology and Science: ISTS 2011), 2011-d-31, 2011.

       

    • Nakada, T., Takadama, K., and Watanabe, S.:

      “Decision-making Model Using XCS in Artificial Market”
      Workshop on Agent-Based Computational Economics and Finance, 2011 IEEE Congress on Evolutionary Computation (CEC2011), pp. 1–5, 2011.

       

    2010

     

    • Takadama, K., Harada, T., Nakazawa, K., Otani, M., Matsushima, H., and Hattori, K.:

      “Fly to Venus: Program Evolving On-Board Computer in UNITEC-1,”
      The Third International Symposium on Robot and Artificial Intelligence, 2010.

       

    • Takadama, K., Hirose, K., Matsushima, H., Hattori, K., Sato, H., and Nakajima, N.:

      “Improving Sleep Stage Estimation by Specializing Multiple Band-Pass Filters and Discrete Heartbeat Data,”
      The Fourth International Symposium on Medical Information and Communication Technology (ISMICT 2010), 2010.

       

    • Takadama, K.:

      “Towards Spiral Care Support System: Evaluating Sleep Stage for Care Plan Optimization,”
      The Fourth International Symposium on Medical Information and Communication Technology (ISMICT 2010), 2010.

       

    • Iseya, S. and Takadama, K.:

      “Evolutionary Optimization for Hub and Spoke Network based on Demand and Operation”
      the World Congress on Nature and Biologically Inspired Computing (NaBIC2010), pp.685-690, 2010.

       

    • Sato, K. and Takadama, K.:

      “Pittsburgh-style Learning Classifier System for Multiple Environments:Towards Robust Waterbus Route for Several Situations,”
      The 14th Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES 2010), pp. 61–68, 2010.

       

    • Ichikawa, Y., Hattori, K., and Takadama, K.:

      “Conflict Avoidance using Information Entropy in Multi-Agent Learning Environment,”
      The 14th Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES 2010), pp. 78–84, 2010.

       

    • Ushida, Y., Takadama, K., and Zhang, M.:

      “Investigation of Elements for Leadership By Hybrid Intelligent Systems”
      IADIS International Conference on Internet Technologies & Society (ITS 2010), pp. 83–90, 2010.

       

    • Harada, T., Otani, M., Matsushima, H., Hattori, K., and Takadama, K.:

      “Evolving Complex Programs in Tierra-Based On-Board Computer on UNITEC-1,”
      The 61th International Astronautical Congress (IAC2010), IAC-10.D1.2.9, 2010.

       

    • Inoue, T., and Matsushima, H., Hattori, K., and Takadama, K.:

      “Education Difference on Symbol Acquisition between Educator Agent and Learner Agent”
      The International Conferrence on Humanized System 2010(ICHS 2010), pp.5-9, 2010.

       

    • Ushida, Y., Hattori, K., and Takadama, K.:

      “Adaptive Agent Design in Highly Dynamic Environment via Barnga Game,”
      The Thrid World Congress on Social Siumlation (WCSS10), 2010.

       

    • Nakada, T., Takadama, K., and Watanabe, S.:

      “Classification of Price Fluctuation using Bayesian Analysis Method in U-Mart,”
      The Third World Congress on Social Simulation (WCSS2010), 2010, to appear.

       

    • Y. Ushida, Z. Minjie, and K. Takadama:

      “Investigation of Elements for leadership by hybrid intelligent systems”,
      IADIS International Conference on Internet Technologies & Society (ITS 2010).

       

    • Otani, M., Hattori, K., Sato, H., and Takadama, K.:

      “Robustness of deadlock avoidance in assembling large-scale structure by multiple robots having trouble and individual differences,”
      The 18th IFAC Symposium on Automatic Control in Aerospace (ACA 2010), 2010, to appear.

       

    • Watanabe, D., Majima, T., Takadama, K., and Katsuhara, M.:

      “Analysis of Air Cargo Hub Location in Ease Asia,”
      The 3rd International Conference on Transportation and Logistics (T-LOG 2010), 2010.

       

    • Matsushima, H., Hattori, K, Sato, H., Takadama, K.:

      “Dynamic matching range in Exemplar-based Learning Classifier System”,
      The 2010 IEEE World Congress on Computational Intelligence (IEEE WCCI 2010),
      pp.1975-1982, 2010.

       

    • Harada, T.,Otani, M., Ichikawa, Y., Hattori, K., Sato, H., Takadama, K.:

      “Robustness to Bit Inversion in Register and Acceleration of Program Evolution in On-Board Computer”
      The 10th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS 2010), pp.802-809, 2010.

       

    • Otani, M., Hattori, K., Sato, H., and Takadama, K.:

      “Improving Recovery Capability of Multiple Robots in Different Scale Structure Assembly,”
      The 10th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS2010), pp. 873–880, 2010.

       

    • Shimada, T., Matsushima, H., Sato, H., Hattori, K., and Takadama, K.:

      “Towards Care Plans of Aged Persons by Multi-objective Optimization,”
      SICE Annual Conference 2010, SB15-5,pp. 3258–3263, 2010.

       

    • Kanamaru, A. Hattori, K. Sato, H., and Takadama, K.:

      “Towards an Objective Generation As an Autonomous Agent Architecture,”
      SICE Annual Conference 2010, SA15-1, pp. 2763–2768, 2010.

       

    • Hattori, Nakajima, N., and, Takadama, K.:

      “Proposal of Highly Accurate Position Estimation System Using Movement History ofWireless Terminals andWireless Communications,”
      SICE Annual Conference 2010, SA15-1, pp. 2783–2787, 2010.

       

    • Muraoka, K., Takadama, K., and Sakamoto, M.:

      “The Layout Optimization of Newssiteinserted Advertisements Using Two Conflicting Objectives,”
      The IADIS Interfaces and Human Computer Interaction 2010 Conference (IHCI 2010), pp. 147–154, 2010.

       

    • Sato, F., Otaki, A., Hattori, K., Sato, H., Takadama, K., and Yamaguchi, T.:

      “Serendipitybased Recommender System in Web Shopping,”
      The IADIS Interfaces and Human Computer Interaction 2010 Conference (IHCI 2010), pp. 440–442, 2010.

       

    2009

     

    • Hattori, K., Kimura, R., Nakajima, N., Fujii, T., Kado, Y., Zhang, B.,Hazugawa, T., and Takadama, K.:

      “Hybrid indoor location estimation system using image processing and WiFi strength,”
      The 2009 International Conference on Wireless Networks and Information Systems (WNIS 2009), pp. 406–411, 2009.

       

    • Nakada, T., Takadama, K., and Watanabe, S.:

      “Analysis Method Depending on Bayes’s Theorem for Agent-Based Simulations,”
      The 6th International Workshop on Agent-based Approaches in Economic and Social Complex Systems (AESCS’09), pp. 306–317, 2009.

       

    • Yamaguchi, T., Nishimura, T., and Takadama, K.:

      “Awareness based filtering – Toward the Cooperative Learning in Human Agent Interaction -,”
      ICCAS-SICE International Joint Conference 2009, 2A11-2, pp. 1164–1167, 2009.

       

    • Iseya, S., Sato, K., Hattori, K., and Takadama, K.:

      “Pacific Ocean Route Optimization by Pittsburgh-style Learning Classifier System,”
      ICCAS-SICE International Joint Conference 2009, 3A01-1, pp. 2710–2715, 2009.

       

    • Hirose, K., Matsushima, H., Hattori, K., and Takadama, K.:

      “Sleep Stage Estimation by Learning Classifier System: Towards Nurse Care Support,”
      ICCAS-SICE International Joint Conference 2009, 3A01-2, pp. 2716–2721, 2009.

       

    • Inoue, T., Otani, M., Hattori, K., and Takadama, K.:

      “Exploring Relationship Between Symbol Creation/Understanding and Embodiment: Effect of Adjective in Communication Among Agents”
      SICE Annual Conference 2009, pp.1168-1173, 2009.

       

    • Hattori, K. and Takadama, K.:

      “Proposal of Robust Wireless Overlay P2P Information Share System Based on Wireless Base Stations and Ad Hoc Devices ,”
      ICCAS-SICE International Joint Conference 2009, 3A01-6, pp. 2738–2743, 2009.

       

    • Otaki, A., Hattori, K., and Takadama, K.:

      “Strategic Human Skill Development by Agentbased Participatory Approach: Improving Negotiation Skill by Interacting with Bargaining Agent,”
      2009 International Conference on Enterprise Information Systems and Web Technologies (EISWT-09), pp. 244–250, 2009.

       

    • Otani, M., Hattori, K., and Takadama, K.:

      “Deadlock avoidance by task transfer among multiple robots in large-scale structure assembly,”
      The 27th International Symposium on Space Technology and Science: ISTS’09), 2009.

       

    • Y. Ushida, K. Hattori, and K. Takadama:

      “From My Agent to Our Agent: Exploring Collective Adaptive Agent via Barnga”,
      Advances in Artificial Intelligence (AI 2009), pp.41-51, 2009.

       

    • Y. Ushida, K. Hattori, and K. Takadama:

      “Modeling Collective Adaptive Agent Design and its Analysis in Barnga Game”,
      The 14th Annual Workshop on Economic Heterogeneous Interacting Agents (ESHIA 2009).

       

    2008

     

    • Takadama, K., Okawa, T., and Hattori, K.:

      “Dynamic Role change in Multiple Robots:Application to Space Solar Power Satellite Assembly,”
      The Second International Symposium on Robot and Artificial Intelligence, pp. 134–144, 2008.

       

    • Matsushima, H. and Takadama, K.:

      “Exemplar-Based Learning Classifier System: Towards a Generalization of Expert Knowledge,”
      12th Asia-Pacific Workshop on Intelligent and Evolutionary Systems (IES’08) pp. 62–70, 2008.

       

    • Otani, M. and Takadama, K.:

      “Toward robust deadlock avoidance method among multiple robots Analyzing communication failure cases,”
      The 59th International Astronautical Congress (IAC2008),2008.

       

    • Nakata, T., Takadama, K., and Watanabe, S.:

      “Simulation Analysis of the Participant Nations Behavior in the Emissions Trading,
      SICE Annual Conference 2008.

       

    • Hatcho, Y. and Takadama, K.:

      “Modeling Knowledge Generalization Capability in Agent to Replicate Subject Experiment Result”,
      SICE Annual Conference 2008, pp.404-409.

       

    • Matsushima, H. and Takadama, K.:

      “Exemplar-Based Learning Classifier System: Towards Cargo Layout Optimization”,
      SICE Annual Conference 2008, pp.972-977.

       

    • Otani, M. and Takadama, K.:

      “The deadlock avoidance method based on Leader-Follower relations among multiple robots in large-scale structure assembly”,
      SICE Annual Conference 2008, pp.1491-1496.

       

    • Majima, T., Takadama, K., Watanabe, D., and Katsuhara, M.:

      “Generation of Public Transit Network by Network Evolution Model”,
      SICE Annual Conference 2008.

       

    • Watanabe, D., Majima, T., Takadama, K., and Katsuhara, M.:

      “Hub airport location in air cargo system”, SICE Annual Conference 2008.

       

    • Nakata, T., Takadama, K., and Watanabe, S.:

      “Agent-Based Modeling of the Participant Nations and the Compliance Mechanism in the Emissions Trading”,
      The Second World Congress on Social Simulation (WCSS’08), 2008.

       

    • Hatcho, Y. and Takadama, K.:

      “Replicating Subject Experiments With Agents That Can Generalize Knowledge: Analyzing Bargaining Game Agents,”
      The Second World Congress on Social Simulation (WCSS’08), 2008.

       

    • Watanabe, D., Majima, T., Takadama, K., and Katsuhara, M.:

      “Single Hub location of air cargo using the generalized Weber model”
      The 11th International Symposium on locational decisions (ISOLDE XI), 2008.

       

    • Watanabe, D., Majima, T., Takadama, K., and Katsuhara, M.:

      “Hub airport location with nonlinear transportation cost function”,
      The Third International Nonlinear Sciences Conference (INSC2008), 2008.

       

    • Okawa, T. and Takadama, K.:

      “Towards Dynamic and Robust Robot Division of Tasks via Local Communication Among Robots Application to Space Solar Power System Construction”,
      The Ninth International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS08),
      2008.

       

    2007

     

    • Takadama, K., Hattori, K. Murata, S, and Furuya, H.:

      “Towards Fault Tolerant of Space Solar Power Satellite: Challenge Issues and Applicability of Distributed Fault Diagnosis”,
      The First International Conference on Robot and Artificial Intelligence,
      pp.22-31, 2007.

       

    • Takadama, K., Kawai, T., and Koyama, Y.:

      “Micro- and Macro-level Validation in Agent-based simulation: Reproduction of Human-like Behaviors and Thinking in a Sequential Bargaining Game”,
      The Third International Model-to-Model Workshop (M2M’07), pp.46-65, 2007.

       

    • Majima, T., Takadama, K., Watanabe, D., and Katsuhara, M.:

      “Characteristic and Application of Network Evolution Model for Public Transport Network”,
      11th Asia-Pacific Workshop on Intelligent and Evolutionary Systems (IES2007), 2007.

       

    • Majima, T., Takadama, K., Watanabe, D., and Katsuhara, M.:

      “Network Evolution Model for Route Design of Public Transport System and its Applications”,
      The Second Workshop on Emergent Intelligence on Networked Agents (WEIN’07),
      pp.57-69, 2007.

       

    • Majima, T., Takadama, K., Watanabe, D. and Katsuhara, M.:

      “Route Generation of Public Transport System with Network Evolution”,
      The 12th International Symposium on Artificial Life and Robotics (AROB’07),
      pp.585-588, 2007.

       

    • Higo, T. and Takadama, K.:

      “Resampling-based Population Mechansism for Evolutionary Algorithms based on Probability Models”,
      11th Asia-Pacific Workshop on Intelligent and Evolutionary Systems (IES2007),
      2007.

       

    • Higo, T. and Takadama, K.:

      “Hierarchical Importance Sampling instead of Annealing”,
      2007 IEEE Congress on Evolutionary Computation (CEC’07),
      pp.134-141, 2007.

       

    • Sato, K. and Takadama, K.:

      “Waterbus Route Optimization by Pittsburgh Style Learning”,
      SICE Annual Conference 2007,
      pp.1150-1154, 2007.

       

    • Nonami, K. and Takadama, K.:

      “Tierra-based software space system for robustness of bit inversion and program evolution”,
      SICE Annual Conference 2007,
      pp.1155-1160, 2007.

       

    • Hattori, K., Takadama, K., Murata, S., and Furuya, H.:

      “A Robustness Distributed System with Sensing and Fault Detection for Large-scale Sensor Networks”,
      SICE Annual Conference 2007,
      pp.1161-1165, 2007.

       

    2006

    • Takadama, K., Murakami, T., and Kawahara, Y.:

      “Detecting Failure of Spacecraft Using Separated States in Particle Filters”,
      The 25th International Symposium on Space Technology and Science (ISTS’06), 2006.

       

    • Takadama, K., Kawai, T., and Koyama, Y.:

      “Can Agents Acquire Human-like Behaviors in a Sequential Bargaining Game?-Comparison of Roth’s and Q-learning agents -“,
      The Seventh International Workshop on Multi-Agent-Based Simulation (MABS’06),
      pp.153-166, 2006.

       

    • Higo, T. and Takadama, K.:

      “Neighbor based Parents Selection for Real-coded Genetic Algorithms”,
      Joint 3rd International Conference on Soft Computing and Intelligent Systems and 7th International Symposium on Advanced Intelligent Systems (SCIS ISIS 2006),
      pp.1167-1172, 2006.

       

    • Wada, A., Takadama, K., and Shimohara, K.:

      “Dual-structured Classifier System Mediating XCS and Gradient Descent based Update”,
      The 9th International Workshop on Learning Classifier Systems (IWLCS’06), 2006.

       

    • Suematsu, Y.I.L., Takadama, K., Shimohara, K., Katai, O.:

      “Community of Practice under Learning Classifier Systems”,
      The 9th International Workshop on Learning Classifier Systems(IWLCS’06), 2006.

       

    • Majima, T., Katsuhara, M., and Takadama, K.:

      “Analysis on Transport Networks of Railway, Subway and Waterbus in Japan”,
      The First Workshop on Emergent Intelligence on Networked Agents (WEIN’06),
      pp.152-166, 2006.

       

    • Higo, T., Takadama, K., Katuhara, M., and Majima, T.:

      “Comparison between Self-organization with Sampling and Genetic Algorithms in multi-modal function”,
      The 11th International Symposium on Artificial Life and Robotics(AROB’06),
      pp.374-377, 2006.

       

    • Nehashi, T., Takadama, K., and Miyazaki, K.:

      “Analyzing Robustness in Multiagent Reinforcement Learning – A comparison between Profit Sharing and Q-Learning -“,
      The 11th International Symposium on Artificial Life and Robotics (AROB’06),
      pp.47-50, 2006.

       

    • Furuya, H., Nakahara, M., Murata, S, Jodoi D., Terada, Y. and Takadama, K.:

      “Concept of Inflatable Tensegrity for Large Space Structures”,
      The 47th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Material Conference,
      pp.1-3, 2006.

       

    • Furuya, H., Nakahara, M., Murata, S, and Takadama, K.:

      “Deployment Characteristics of Multi-Cellular Inflatable Tubes”,
      The 57th International Astronautical Congress (IAC’06), pp.1-5, 2006.

       

    2005

     

    • Takadama, K. and Shimomura, K.:

      “Cargo Layout Optimization in Spacecraft: Exploring Heuristics for Branch-and-Bound Method”,
      The 8th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS’05), 2005.

       

    • Takadama, K. and Yamada, Y.:

      “Increasing Reality in Agent-based Simulation: From Experimental Economics to Gaming Simulation”,
      North American Association for Computational Social and Organizational Science Conference 2005 (NAACSOS’05), 2005.

       

    • Murata, S., Jodoi, D., Furuya, H., Terada, Y., and Takadama, K.:

      “Conceptual Study on Inflatable Tensegrity Module for Large Scale Space Structures and its Robotic Assembly”,
      The 56th International Astronautical Congress (IAC’05),
      IAC-05-D1.1.01,2005.

       

    • Kawai, T., Koyama, Y., and Takadama, K.:

      “Modeling Sequential Bargaining Game Agents towards Human-like Behaviors: Comparing Experimental and Simulation Results”,
      The First World Congress of the International Federation for Systems Research (IFSR’05),
      S2-5-2, 2005.

       

    • Kawai, T., Koyama, Y., and Takadama, K.:

      “Modeling Sequential Bargaining Game Agents towards Human-like Behaviors: Reproduction of the Decreasing Trend in Negotiation”,
      The First International Workshop on Artificial Computational Economics Social Simulation (ACESS’05), 2005.

       

    • Wada, A., Takadama, K., and Shimohara, K.:

      “Analyzing Strength-based Classifier System from Reinforcement Learning Perspective”,
      The 7th International Conference on Artificial Evolution (EA’05), 2005.

       

    • Suematsu, Y. L., Takadama, K., Shimohara, K., Katai, O.:

      “X-MAS: Supporting the Tedious Work of Validation in Agent-Based Simulation”,
      Agent 2005 Conference, 2005.

       

    • Kawai, T. and Takadama, K.:

      “Modeling Sequential-Bargaining-Game Agents by Switching Learning mechanisms and Action Selections,”
      The 4th International Workshop on Agent-based Approaches in Economic and Social Complex Systems (AESCS’05),
      pp. 129-140, 2005.

       

    • Suematsu, Y. L., Takadama, K., Shimohara, K., Katai, O.:

      “X-MAS: Validation tool based on meta-programming”,
      The 4th International Workshop on Agent-based Approaches in Economic and Social Complex Systems (AESCS’05),
      pp.385-396, 2005.

       

    • Wada, A., Takadama, K., and Shimohara, K.:

      “Learning Classifier System Equivalent with Reinforcement Learning with Function Approximation”,
      The 8th International Workshop on Learning Classifier Systems (IWLCS’05), pp.92-93, 2005.

       

    • Wada, A., Takadama, K., and Shimohara, K.:

      “Counter Example for Q-Bucket-Brigade under blockquotediction Problem”,
      The 8th International Workshop on Learning Classifier Systems (IWLCS’05), pp.94-99, 2005.

       

    • Inoue, H., Takadama, K., and Shimohara, K:

      “Exploring XCS in Multiagent Environments”,
      The 8th International Workshop on Learning Classifier Systems (IWLCS’05), pp.109-111, 2005.

       

    • Miyazaki, Y., Furuya, H., Murata, S., and Takadama, K.:

      “Effects of Initial Configuration on Large Deformation Analysis for One-Dimensional Deployable Membrane”,
      The 46th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics Materials Conference (SDM’05),
      pp.1-11, 2005.

       

    • Inoue, H., Leon, Y. I., Takadama, K., Shimohara, K., and Katai O.:

      “Multi-agent Learning Mechanism Based on Diversity of Rules: From the View Point of LCS”,
      The 10th International Symposium on Artificial Life and Robotics (AROB’05), pp.547-550, 2005.

       

    2004

     

    • Takadama, K. and Fujita, H.:

      “Towards Guidelines for Modeling Learning Agents in Multiagent-Based Simulation: Implications from Q-learning and Sarsa agents”,
      The Joint Workshop on Multi-Agent and Multi-Agent-Based Simulation (MAMABS’04), pp.121-130, 2004.

       

    • Takadama, K. and Fujita, H.:

      “Lessons Learned from Comparison Between Q-learning and Sarsa Agents in Bargaining Game”,
      North American Association for Computational Social and Organizational Science Conference 2004 (NAACSOS’04),
      2004.

       

    • Takadama, K., Tokunaga, F., and Shimohara, K.:

      “Capabilities of Multiagent-based Cargo Layout System for H-II Transfer Vehicle,”
      The 16th IFAC Symposium on Automatic Control in Aerospace (ACA’04), pp.250-255, 2004.

       

    • Hattori, K., Takadama, K., Murata, S., Furuya, H., Ueno, H., and Oda, M.:

      “Theoretical Analysis of Distributed Fault Diagnosis in a Space Solar Power Satellite”,
      The 4th International Symposium on Human and Artificial Intelligence Systems (HART’04),
      Advanced Intelligence by Advanced Knowledge International, pp.347-353, 2004.

       

    • Wada, A., Takadama, K., Shimohara, K. and Katai, O.:

      “DCS: Learning Classifier System with Convergence and Accuracy”,
      The 5th Asia-Pacific Conference on Simulated Evolution And Learning (SEAL’04), 2004.

       

    • Inoue, H., Tian, Y., Takadama, K., Shimohara, K., and Katai O.:

      “Effects of Heterogeneity in a Fish School Model on Avoiding Obstacles”,
      Joint 2nd International Conference on Soft Computing and Intelligent Systems and
      5th International Symposium on Advanced Intelligent Systems (SCIS ISIS 2004), 2004.
      (セッションプレゼン賞 受賞)

       

    • Wada, A., Takadama, K., Shimohara, K. and Katai, O.:

      “ZCS with Convergence and Generalization”,
      Workshop on Foundations of Learning Classifier Systems,
      The 8th International Conference on Parallel Problem Solving from Nature (PPSN VIII), 2004.

       

    • Wada, A., Takadama, K., Shimohara, K. and Katai, O.:

      “Is Gradient Descent Method Effective for XCS? Analysis of Reinforcement Process in XCSG”,
      The 7th International Workshop on Learning Classifier Systems(IWLCS’04), 2004.

       

    • Hattori, K., Takadama, K., Ueno, H., and Oda, M.:

      “Analyzing a Capability of Specifying a Failure Area in a Space Solar Power Satellite”,
      The 24th International Symposium on Space Technology and Science (ISTS’04), 2004.

       

    • Suematsu, Y. L., Takadama, K., Shimohara, K., Katai, O., and Arai, K.:

      “Learning Mechanisms applied to Agents in Cross-Cultural Simulation: Analysis from the view-point of Small World Network”,
      The 3rd International Workshop on Agent-based Approaches in Economic and Social Complex Systems (AESCS’04),
      pp.169-176, 2004.

       

    • Wada, A., Takadama, K., Shimohara, K. and Katai, O.:

      “Comparison between Q-learning and ZCS Learning Classifier System: From Aspect of function approximation”,
      The 8th International Conference on Intelligent Autonomous Systems (IAS-8),
      pp.422-429, 2004.

       

    2003

     

    • K. Takadama, Y. L. Suematsu, N. Sugimoto, N. E. Nawa, and K. Shimohara:

      “Towards Verification and Validation in Multiagent-Based Systems and Simulations: Analyzing Different Learning Bargaining Agents”,
      The 4th Workshop on Multi-Agent Based Simulation (MABS’03), pp.18-32, 2003.

       

    • K. Takadama, N. Sugimoto, N. E. Nawa, and K. Shimohara:

      “Grounding to Both Theory and Real World by Agent-Based Simulation: Analyzing Learning Agents in Bargaining Game”,
      North American Association for Computational Social and Organizational Science Conference 2003 (NAACSOS), 2003.

       

    • K. Takadama, S. Amatastu, S. Nakasuka, and K. Shimohara:

      “Multiagent-based Layout System for a blockquotessurized Logistics Carrier in H-IIA Transfer Vehicle”,
      The 7th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS’03), 2003.

       

    • K. Takadama, Y. L. Suematsu, N. Sugimoto, N. E. Nawa, and K. Shimohara:

      “Do Computational Models with Different Learning Mechanisms Produce the Same Results?”,
      The Model to Model (M2M) Workshop, pp.5-15, 2003.

       

    • Inoue, H., Takadama, K., Shimohara, K., and Katai, O.:

      “Exploring Conditions of Heterogeneous Knowledge for Effective Multi-agent Systems”,
      The 2nd International conference on Computational Intelligence, Robotics and Autonomous Systems (CIRAS’03), 2003.

       

    • Hattori, K., Takadama, K., Ueno, H., and Oda, M.:

      “Specifying a Failure Area in a Large Scale Space Structure: Which Method is Better – Majority or Individual?”,
      The 2003 Asia-Pacific Symposium on Intelligent and Evolutionary Systems (IES’03),
      pp.115-122, 2003.

       

    • Yuta, K., Souma, W., Fujiwara, Y., Takadama, K., Shimohara, K., and Katai, O.:

      “Sectioned Random-Network Agent Model Demonstrate Behavior of Sectionalism”,
      The International Workshop on Agent-Based Modeling (WABM’03), pp.55-66, 2003.

       

    • Wada, A., Takadama, K., Shimohara, K. and Katai, O.:

      “Analyzing Parameter Sensitivity and Classifier Reblockquotesentations for for Real-valued XCS,”
      The 6th International Workshop on Learning Classifier Systems (IWLCS’03), 2003.

       

    • Suematsu, Y. L., Takadama, K., Shimohara, K., Katai, O., and Arai, K.:

      “Analyzing BARNGA Gaming Simulation Using an Agent-Based Model”,
      The 34th Annual Conference of International Simulation and Gaming Association (ISAGA’03),
      pp.817-826, 2003.

       

    • Wada, A., Takadama, K., Shimohara, K. and Katai O.:

      “Analyzing State Space Segmentation in Learning Classifier System”,
      SICE Annual Conference 2003, pp.2654-2658, 2003.

       

    • Inoue, H., Takadama, K., Shimohara, K., and Katai O.:

      “Acquisition of a Specialty in Multi-Agent Learning – Approach from Learning Classifier Systems -“,
      The 5th IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA’03),
      pp.1090-1095, 2003.

       

    • Inoue, H., Takadama, K., Shimohara, K., and Katai O.:

      “An Index of Degrees of Confusion between Knowledge Acquired in a Learning Classifier System”,
      The 8th International Symposium on Artificial Life and Robotics (AROB’03), pp.181-184, 2003.

       

    2002

     

    • K. Takadama and K. Shimohara:

      “Designing Social Force: Control for Collective Behavior of Learning Individuals”,
      The 7th International Conference of the Society for Adaptive Behavior (SAB’02),
      pp.393-394, 2002.

       

    • K. Takadama, Y. L. Suematsu, N. E. Nawa, and K. Shimohara:

      “Cross-Validation in Multiagent-based Simulation: Analyzing Evolutionary Bargaining Agents”,
      The 2002 Genetic and Evolutionary Computation Conference (GECCO’02), pp.121-128, 2002.

       

    • K. Takadama, Y. L. Suematsu, N. Sugimoto, N. E. Nawa, and K. Shimohara:

      “X-MAS: Cross-validation in MultiAgent-based Simulation”,
      The Computational Analysis of Social and Organizational System Conference 2002 (CASOS 2002),
      2002.

       

    • Wada, A., Takadama K., and Shimohara, K.:

      “Autonomous Symbol Acquisition Through Agent Communication”,
      The 4th Asia-Pacific Conference on Simulated Evolution And Learning (SEAL’02),
      pp. 786-790, 2002.

       

    • Inoue, H., Takadama, K., Shimohara, K., and Katai O.:

      “Learning Classifier System Enabling Adaptation to Mixed Known Environments”,
      The 5th International Conference on Human and Communication (HC’02), pp.296-301, 2002.

       

    • Suematsu, Y. L., Takadama, K., Nawa, N. E., Shimohara, K., and Katai O.:

      “Analyzing Level of the Micro Level Approaches and Its Implication in Agent-based Ssimulation”,
      The 6th International Conference on Complex Systems (CS’02), pp.44-51, 2002.

       

    • Suematsu, Y. L., Takadama, K., Nawa, N. E., Shimohara, K., and Katai O.:

      “The X-MAS SYSTEM: Toward simulation systems for cross-model-validation of multiagent-based simulations”,
      The 5th Pacific Rim International Workshop on Multi-Agents (PRIMA’02)
      Summer School on Agents and Multiagent Systems, poster blockquotesentation, 2002
      (ポスター賞受賞).

       

    • Wada, A., Takadama K., Shimohara, K., and Osamu, K.:

      “Adapative State Space Segmentation for LCS”,
      The 5th Pacific Rim International Workshop on Multi-Agents (PRIMA’02)
      Summer School on Agents and Multiagent Systems, poster blockquotesentation 2002
      (ポスター 賞受賞).

       

    • Inoue, H., Takadama, K., Shimohara, K., and Katai O.:

      “An Adaptation to Mixtures of Known Environments Using an Enhanced Classifier System”,
      The 5th Pacific Rim International Workshop on Multi-Agents (PRIMA’02)
      Summer School on Agents and Multiagent Systems, poster blockquotesentation, 2002.

       

    • Suematsu, Y. L., Takadama, K., Nawa, N. E., Shimohara, K., and Katai O.:

      “The X-MAS SYSTEM: Toward simulation systems for cross-validation in multiagent-based simulation”,
      The 2nd International Workshop on Agent-based Approaches in Economic and Social Complex Systems (AESCS’02), pp.31-38, 2002.