論文

 2017

・Fumito Uwano, Yusuke Tajima, Akinori Murata, and Keiki Takadama:

“Recovery System Based on Exploration-Biased Genetic Algorithm for Stuck Rover in Planetary Exploration”,
Journal of Robotics and Mechatronics Vol.29 No.5 p. 877-886Download »

・Kazuma Matsumoto, Takato Tatsumi, Hiroyuki Sato, Tim Kovacs, and Keiki Takadama:

“XCSR Learning from Compressed Data Acquired by Deep Neural Network”,
Journal of Advanced Computational Intelligence and Intelligent Informatics Vol.21 No.5 p. 856-867Download »

・Caili Zhang, Takato Tatsumi, Masaya Nakata, and Keiki Takadama:

“Approach to Clustering with Variance-Based XCS”,
Journal of Advanced Computational Intelligence and Intelligent Informatics Vol.21 No.5 p. 885-894Download »

・Takato Tatsumi, Hiroyuki Sato, and Keiki Takadama:

“Learning Classifier System Based on Mean of Reward”,
Journal of Advanced Computational Intelligence and Intelligent Informatics Vol.21 No.5 p. 895-906Download »

・Takato Okudo, Tomohiro Yamaguchi, Akinori Murata, Takato Tatsumi, Fumito Uwano, and Keiki Takadama:

“Supporting the Exploration of the Learning Goals for a Continuous Learner Toward Creative Learning”,
Journal of Advanced Computational Intelligence and Intelligent Informatics Vol.21 No.5 p. 907-916Download »

・Fumito Uwano and Keiki Takadama:

“Comparison Between Reinforcement Learning Methods with Different Goal Selections in Multi-Agent Cooperation”,
Journal of Advanced Computational Intelligence and Intelligent Informatics Vol.21 No.5 p. 917-929Download »

 2015

・Morimoto, S., Jinba, T.,
Kitagawa, H., Takadama, K., Majima, T., Watanabe, D. and Katuhara, M.:

“Multi-agent-based bus route optimisation for restricting passenger
traffic bottlenecks in disaster situations”,
Int. J. Automation and Logistics,
Vol. 2, Nos. 1/2, pp.153–177.

・建部尚紀,服部聖彦,加川敏規,大和田泰伯,浜口清,髙玉圭樹:

“受信電波強度を用いた効率的な自律ロボット群展開制御による無線通信網構築-災害時の障害を抽象化した行動不能率による検証-”,
計測自動制御学会 SI2014特集号

・辰巳 嵩豊, 小峯 嵩裕, 中田 雅也, 佐藤 寛之, 髙玉 圭樹:

“許容誤差を自己適応可能な学習分類子システム”,
進化計算学会論文誌 Vol. 6 (2015) No. 2 p. 90-103Download »

 2014

・Kitagawa, H., Sato, K. and Takadama, K.:

“Multiagent-based Sustainable Bus Route Optimization in Disaster”,
Journal of Information Processing Special Issue Multiagent-based Societal Systems.

 2013

・中田雅也, Pier Luca Lanzi, 田島友祐, 高玉圭樹:

“Compact Genetic Algorithmを導入した学習分類子システムによる分類子数の削減”,
情報処理学会論文誌:数理モデル化とその応用, 採択済.

・Sakamoto, M. and Takadama, K.:

“The Layout Optimization of Newssite-inserted Advertisements Using Two Conflicting Objectives”,
International Journal of Computer Information Systems and Industrial Management Applications (IJCISIM), Vol.5, pp.615-622, 2013

・Y. Ichikawa, and K. Takadama:

“Designing Internal Reward of Reinforcement Learning Agents in Multi-step Dilemma Problem”,
Journal of Advanced Computational Intelligence and Intelligent Informatics,
Vol.17, No.6, pp.926-931, 2013

 2012

・Sato, K., Iseya, S., Takadama, K., Sato, H., Hattori, K.:

“Evolutionary Optimization for Feeder Route Network using Multi-Objective Clustering”,
International Journal of Advancements in Computing Technology(IJACT), Vol.4, No.22, pp.269-280, 2012

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

“Sleep Stage Estimation By Evolutionary Computation Using Heartbeat Data and Body-Movement”,
International Journal of Advancements in Computing Technology(IJACT), Vol.4, No.22, pp.281-290, 2012

・中田雅也, 原田智広, 佐藤圭二, 松島裕康, 高玉圭樹:

“予測報酬に基づく個別化による学習分類子システムの学習性能の向上”, 計測自動制御学会論文集, 48-11, pp.713-722, 2012.

・服部 聖彦, 高玉圭樹, 大谷雅之, 松島裕康,佐藤圭二,市川嘉裕:

“超大規模センサネットワークに適応したセンサデータ収集・分散故障診断アルゴリズム”, 計測自動制御学会論文集, 48-11, pp.745-753, 2012.

・市川嘉裕, 高玉圭樹:

“学習進度に基づくマルチエージェントQ学習における競合回避”, 計測自動制御学会論文集, 48-11, pp.764-772, 2012.

 2011

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

“Robustness to Bit Inversion in Registers and Acceleration of Program Evolution in On-Board Computer”
Journal of Advanced Computational Intelligence and Intelligent Informatics,
Vol.15, No.8, Oct. 2011, pp.1175-1185.

・中田雅也,原田智広,佐藤圭二,松島裕康,高玉圭樹:論文 »

“個別化による学習分類子システムの一般化促進”,計測自動制御学会論文誌,Vol. 47,No. 11 pp. 581–590, 2011.

・K. Sato and K. Takadama:

“Pittsburgh-style Learning Classifier System for Multiple Environments:Towards Robust Waterbus Route for Several Situations”, International Journal of Bio-Inspired Computation (IJBIC), Inderscience Publishers Vol. 3, No. 6, pp. 370–383,2011.

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

“Improving Recovery Capability of Multiple Robots in Different Scale Structure Assembly,” Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), Vol.15, No. 8, pp. 1186–1196, 2011.

・服部聖彦,中村恭平,中嶋信生,藤井哲也,門洋一,張兵,高玉圭樹:

“ユビキタスネットワークにおける位置依存サービスのため高精度位置推定システムの提案と検証”, 電子情報通信学会,Vol. J94-B, No. 10, pp. 1341–1350, 2011.

 2010

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

“Toward Strategic Human Skill Development Through Human and Agent Interaction: Improving Negotiation Skill by Interacting with Bargaining Agent”
Journal of Advanced Computational Intelligence and Intelligent Informatics,
Vol.14, No.7, Nov. 2010, pp.831-839.

・Y. Ushida, K. Hattori, and K. Takdama:

“Modeling collective adaptive agent design and its analysis in Barnga game”,
Journal of Economic Interaction and Coordination, vol.5, No.3, pp.137-154, 2010.

・Takadama, K., Hirose, K., Matsushima, H., Hattori, K., Nakajima, N.:

“Learning Multiple Band-Pass Filters for Sleep Stage Estimation: Toward Care Support for
Aged Persons”,
IEICE Transaction on Communications, Vol.E93-B, No.4, pp.811-818, April, 2010.

・仲田知弘,高玉圭樹,渡辺成良:

“エージェントベースシミュレーションを用いた国際排出権取引市場における時系列データの分類法の提案”,計測自動制御学会論文集,Vol. 46, No. 9,pp. 555–561, 2010.

・渡部大輔,間島隆博,高玉圭樹,勝原光治郎:

“燃料価格の変動による国内航空貨物運賃への影響とその特性に関する国際比較”,日本物流学会誌,Vol. 18, pp. 145–152, 2010.

 2009

・Hatcho, Y., Hattori, K., and Takadama, K.:

“Time Horizon Generalization in Reinforcement Learning: Generalizing Multiple Q-Tables
in Q-Learning Agents”,
Journal of Advanced Computational Intelligence and Intelligent Informatics,
Vol.13, No.6, Nov. 2009, pp.667-674.

・Matsushima, H., Hattori, K., and Takadama, K.:

“Exemplar Generalization in Reinforcement Learning: Improving Performance with
Fewer Exemplars”,
Journal of Advanced Computational Intelligence and Intelligent Informatics,
Vol.13, No.6, Nov. 2009, pp.683-690.

 2008

・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 Journal of Artificial Societies and Social Simulation (JASSS), Vol.11, No.2, 2008.

・Rouchier, J., Cioffi-Revilla, C., Polhill, J. G., and Takadama, K.:

“Progress in Model-To-Model Analysis”,
The Journal of Artificial Societies and Social Simulation (JASSS), Vol.11, No.2, 2008.

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

“Network Evolution Model for Route Design of Public Transport System and its Applications”,
International Transactions on Systems Science and Applications(ITSSA), Vol.3, No.1, 2008.

・間島 隆博, 髙玉 圭樹:

“マルチエージェントシステムと物流解析への応用”,
海上技術安全研究所報告, Vol.7, No.4, pp.103-107, 2008.

・比護 貴之, 髙玉 圭樹:

“Hierarchical Importance Sampling as Generalized Population Convergence”,
情報処理学会学会誌, 2008,

 2006

・髙玉 圭樹:

“マルチエージェントに基づくカーゴレイアウトシステム:
日本がイニシアティブをとる次世代運用システムに向けて”,
人工知能学会学会誌, Vol.21, No.1, pp.39-44, 2006.

・服部 聖彦, 髙玉 圭樹, 村田 智, 古谷 寛, 上野 浩史, 稲場 典康, 小田 光茂:

“自律分散型故障診断手法の提案 ー on-line分散型診断手法との比較 ー”,
人工知能学会学会誌, Vol.21, No.4, pp.417-426, 2006.

・井上 寛康, 髙玉 圭樹, 下原 勝憲:

“行動価値に着目した学習分類子システムの改善: マルチエージェント強化学習への接近”,
“情報処理学会誌, Vol.47, No.5, pp.1483-1492, 2006.

 2005

・髙玉 圭樹:

“社会組織シミュレーションにおける妥当性検証: エージェントのモデリングから始めよう”,
組織科学, Vol.39, No.1, pp.15-25, 2005.

・和田 充史, 髙玉 圭樹, 下原 勝憲, 片井 修:

“実数値学習分類子システムの分析: XCS における実数値分類子表現および表現に固有なパラメータの検証”,
人工知能学会学会誌, Vol.20, No.1, pp.57-66, 2005.

 2004

・K. Takadama, T. Terano, and K. Shimohara:

“Interpretation by Implementation for Understanding a Multiagent Organization”,
Computational and Mathematical Organization Theory (CMOT),
Kluwer Academic Publishers, Vol.9, No.1, pp.19-35, 2004.

・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?”,
電気学会, 論文誌C, Vol.124, No.10, pp.2019-2026, 2004.

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

“Comparing Learning Classifier System and Reinforcement Learning with Function Approximation”,
電気学会, 論文誌C, Vol.124, No.10, pp.2034-2039, 2004.

 2003

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

“Cross-Element Validation in Multiagent-based Simulation: Switching Learning Mechanisms in Agents”,
The Journal of Artificial Societies and Social Simulation (JASSS),
Vol.6, No.4, 2003.

・K. Takadama, S. Matsumoto, S. Nakasuka, and K. Shimohara:

“A Reinforcement Learning Approach to Fail-safe Design for Multiple Space Robots Cooperation Mechanism
Without Communication and Negotiation Schemes”,
Advanced Robotics (The international journal of the Robotics Society of Japan),
VSP,Vol.17, No.1, pp.21-39, 2003.

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

“Analyzing the Agent-Based Model Simulation and its Implications”,
Advances in Complex Systems (ACS), Vol.6, No.3, pp.331-348, 2003.

 2002

・髙玉 圭樹, 辻中 尚宏, 下原 勝憲:

“エージェント指向シミュレーションにおけるブランドマーケティングの解釈”,
日本シミュレーション学会誌, Vol.21, No.2, pp.113-122, 2002.

・K. Takadama, S. Nakasuka and K. Shimohara:

“Robustness in Organizational-Learning Oriented Classifier System”,
Journal of Soft Computing,Springer-Verlag, Vol.6, No.3-4, pp. 229-239, 2002.

・髙玉 圭樹, 下原 勝憲:

“エージェント指向シミュレーションにおける課題と累積発展 ~我々は今後,何を考慮すべきか? ~”,
社会経済システム学会誌, No.21-22, pp.68-84, 2002.

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

“Enhanced Learning Classifier System Enabling Adaptation to Mixed Known Environments”,
The Journal of Three Dimensional Images, Vol.16, No.4, pp.208-213, 2002.