論文

• 高玉 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. *, 2006.
• 高玉 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, 高玉圭樹, 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, 57-66, 2005.
• 高玉圭樹, 下原勝憲. HTVにおける戦略的宇宙機情報処理システム：日本がイニシアティブをとる次世代システムに向けて, 日本航空宇宙学会　第48回宇宙科学技術連合講演会, pp. 1062-1067, 2004.
• A.Wada, K.Takadama, K.Shimohara, O.Katai. DCS:Learning Classifier System with Convergence and Accuracy, The 5th Asia-Pacific Conference on Simulated Evolution and Learning(SEAL'04), 2004.
• A.Wada, K.Takadama, K.Shimohara, O.Katai. ZCS with Convergence and Generalization, Workshop on Foundation s of learning Classifier Systems,The 8th International Conference on parallel Problem Solving from Nature(PPSN VIII), 2004.
• A.Wada, K.Takadama, K.Shimohara, O.Katai. Is Gradient Descent Method Effective for XCS? Analysis of Reinforcement Process in XCSG, The 7th International Workshop on Learning Classifier Systems (IWLCS'04), 2004.
• A.Wada, K.Takadama, K.Shimohara, O.Katai. 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.
• H.Inoue, Y.Tian, K.Takadama, K.Shimohara, O.Katai. 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.
• K.Hattori, K.Takadama, H.Ueno, M.Oda. Analyzing a Capability of Specifying a Failure Area in a Space Solar Power Satellite, International Symposium on Space Technology and Science(ISTS'04), 2004.
• Y.L. Suematsu, K.Takadama, K.Shimohara, O.Katai, K.Arai. Learning Mechanisms Applied to Agents in Crodd-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.
• 山田裕二, 高玉圭樹. エージェントが集団へ適応するための評価軸の一考察：BARNGAにおける訂正行動の観察, 計測自動制御学会、システム・情報部門学術講演会2004, pp. 19-24, 2004.
• 比護貴之, 高玉圭樹. 適応的探索領域分割に基づく最適化手法の提案：多峰性関数へのアプローチ, 計測自動制御学会、システム・情報部門学術講演会, pp. 169-174, 2004.
• 丸山大輔, 高玉圭樹. 強化学習における報酬分散と価値分散の比較, 計測自動制御学会、システム・情報部門学術講演会２００４, 2004.
• 井上寛康, 田雅杰, 高玉圭樹, 下原勝憲, 片井修. 多様性に着目したマルチエージェントの移動におけるデッドロック回避：魚群シミュレータによる検証, 人工知能学会（JAWS'04), pp. 74-81, 2004.
• 上土井大助, 村田智, 古谷寛, 高玉圭樹. インフレータブルモジュールを用いた宇宙構造物：宇宙太陽発電衛星の自動組立て・保守システムに向けて, 日本航空宇宙学会、第48回宇宙科学技術連合講演会, pp. 754-756, 2004.
• 村田智, 上土井大助, 古谷寛, 寺田弦, 高玉圭樹. 膜面・トラス展開モジュールの自動組立による大規模宇宙構造物の構築, 宇宙航空開発研究機構主催、第20回宇宙構造・材料シンポジウム, 2004.
• A.Wada, K.Takadama, K.Shimohara, O.Katai. Is Gradient Descent Method Effective for XCS? Analysis of reinforcement process in XCSG, ATR Technical Report,TR-NIS-0003, 2004.
• 井上寛康, 高玉圭樹, 下原勝憲, 片井修. マルチエージェントシステムにおける知識の均質性と取得できる情報の関係, 情報処理学会、第3回情報技術フォーラムFIT2004, pp. 313-316, 2004.
• 井上寛康, 田雅杰, 高玉圭樹, 下原勝憲, 片井修. マルチエージェント設計論への接近：多様性の立場から, 人工知能学会MYCOM'04, pp. 57-62, 2004.
• A.Wada, K.Takadama, K.Shimohara, O.Katai. Analyzing Parameter Sensitivity and Classifier Representation for Real-Valued XCS, ATR Technical Report,TR-NIS-0001, 2004.
• A.Wada, K.Takadama, K.Shimohara, O.Katai. Convergence and generalization in Learning Classifier Systems:ZCS with Residual Gradient Algorithms, ATR Technical Report TR-NIS-0002, 2004.
• L.I.Suematsu, K.Takadama, K.Shimohara, O.Katai, K.Arai. Analyzing Influence of Learning Mechanisms as Applied to Agent-based Modeling in Cross-Cultural Environments, 計測自動制御学会、第32回システム工学部会研究会, pp. 35-40, 2004.
• 藤田裕典, 高玉圭樹. バーゲニングゲームにおける強化学習エージェントの解析, 計測自動制御学会、第16回自律分散システム・シンポジウム, pp. 259-264, 2004.
• K.Takadama, H.Fujita. Lessons Learned from Comparison Between Q-Learning and Sarsa Agents in Bargaining Game, North American Association for Computational Social and Organizational Science(NAACSOS)conference, 2004.
• K.Hattori, K.Takadama, H.Ueno, M.Oda. 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.
• A.Wada, K.Takadama, K.Shimohara, O.Katai. 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.
• K.Takadama, F.Tokunaga, K.Shimohara. 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.
• K.Takadama, H.Fujita. Towards Guidlines for Modeling Learning Agents in Multiagent-Based Simulation: Implcations from Q-learning and Sarsa agents, The Joint Workshop on Multiagent-Based Simulation(MAMABS'04), pp. 121-130, 2004.
• K.Takadama, T.Terano, K.Shimohara. Interpritation by Implementation for understanding a Multiagent Organization, Kluwer Academic Publishers, Vol. 9, No. 1, pp. 19-35, 2004.
• Wada, A., Takadama, K., Shimohara, K., Katai O.. Analyzing State Space Segmentation in Learning Classifier System, SICE Annual Conference 2003, 2003.
• Inoue, H., Takadama, K., Shimohara, K., 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), 2003.
• Inoue, H., Takadama, K., Shimohara, K., 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), 2003.
• 服部　聖彦, 高玉圭樹, 上野 浩史, 小田 光茂. 宇宙太陽発電衛星の故障領域の特定：マルチエージェントの立場から, 人工知能学会，JAWS'03 (Joint Agent Workshop), 2003.
• 井上寛康, 高玉 圭樹, 下原 勝憲, 片井 修. 知識の非均質性を持つマルチエージェントが有効になる条件, 人工知能学会，JAWS'03 (Joint Agent Workshop), 2003.
• 湯田 聴夫, 相馬 亘, 藤原 義久, 高玉 圭樹, 下原 勝憲, 片井修. 組織におけるセクショナリズムの指標化: 部署化されたランダムネットワーク上でのマルチエージェントシミュレーションによる分析, 京都大学基礎物学理研究所 2003年度前期研究会，経済物理学 －社会・経済への物理学的アプローチ －, 2003.
• 高玉 圭樹, 中谷 一郎. 深宇宙探査機の自律化とその検証, 日本ロボット学会誌, 2003.
• 高玉 圭樹. 相互作用に埋めこまれた集合知: 集団の組織化レベルの解析, 「複雑系と集合知」特集号, 人工知能学会誌, 2003.
• 杉本 徳和, 高玉 圭樹, N. E. Nawa, 下原 勝憲. 社会科学におけるバーゲニングの感度分析とその展開: Q学習からの接近, ATR Technical Report, TR-HIS-0011, 2003, 2003.
• 井上寛康, 湯田聴夫, 高玉 圭樹, 下原 勝憲, 片井 修. AIと笑い -笑いのコンテンツに含まれる構造の解析へ -, 人工知能学会，MYCOM'03(Meeting for Youth COMmunity), 2003.
• 井上寛康, 高玉 圭樹, 下原 勝憲, 片井 修. マルチエージェント学習システムにおける動的な役割分担, 人工知能学会，MYCOM'03 (Meeting for Youth COMmunity), 2003.
• 和田充史, 高玉 圭樹, 下原 勝憲, 片井修. 学習分類子システムの汎化能力についての考察： 強化学習における関数近似手法との接点, 人工知能学会，MYCOM'03(Meeting for Youth COMmunity), 2003.
• 服部　聖彦, 高玉圭樹. 複数エージェントによる大規模構造体の故障診断, 人工知能学会，MYCOM'03 (Meeting for Youth COMmunity), 2003.
• Takadama, K., Matsumoto, S., Nakasuka, S., Shimohara, K.. A Reinforcement Learning Approach to Fail-safe Design for Multiple Space Robots - Cooperation Mechanism Without Communication and Negotiation Schemes -, Advanced Robotics, Vol. 17, No. 1, pp. 21-39, 2003.
• Takadama, K., Suematsu, Y. L., Sugimoto, N., Nawa, N. E., Shimohara, K.. 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.
• Takadama, K., Amatatsu, S., Nakasuka, S., Shimohara, K.. Multiagent-based Layout System for a Pressurized Logistics Carrier in H-IIA Transfer Vehicle, The 7th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS'03), 2003.
• Suematsu, Y. L., Takadama, K., Nawa, N. E., Shimohara, K., Katai O. Analyzing the Agent-Based Model Simulation and its Implications, Advances in Complex Systems (ACS), 2003.
• K. Takadama, Y. L. Suematsu, N. Sugimoto, N. E. Nawa, 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), 2003.
• K. Takadama, N. Sugimoto, N. E. Nawa, K. Shimohara. Grounding to Both Theory and Real World by Agent-Based Simulation:Analyzing Learning Agents in Bargaining Game, NAACSOS (North American Association for Computational Social and Organizational Science) Conference 2003, 2003.
• K. Takadama, Y. L. Suematsu, N. Sugimoto, N. E. Nawa, K. Shimohara. Do Computational Models with Different Learning Mechanisms Produce the Same Results?, The Model to Model (M2M) Workshop, 2003.
• Inoue, H., Takadama, K., Shimohara, K., 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., 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, 2003.
• Yuta, K., Souma, W., Fujiwara, Y., Takadama, K., Shimohara, K., Katai, O.. Sectioned Random-Network Agent Model Demonstrate Behavior of Sectionalism, The International Workshop on Agent-Based Modeling (WABM'03), 2003.
• Wada, A., Takadama, K., Shimohara, K., Katai O.. Analyzing Parameter Sensitivity and Classifier Representations for Real-valued XCS, The 6th International Workshop on Learning Classifier Systems (IWLCS'03), 2003.
• Suematsu, Y. L., Takadama, K., Shimohara, K., Katai, O., Arai, K.. Analyzing BARNGA Gaming Simulation through Modelling an Agent-Based Model, The 34th Annual Conference of International Simulation and Gaming Association (ISAGA'03), 2003.
• 高玉 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, Y. L. Suematsu, N. E. Nawa, 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, 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.
• 高玉 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, Vol. 21-22, pp. 68-84, 2002.
• 高玉 圭樹. 入門：計算組織理論とは何か? －社会シミュレーションの基礎から最近の研究まで －, 計測自動制御学会，第25回システム工学部会研究会「人工社会・組織・経済の基礎理論と応用」 」, pp. 67-77, 2002.
• K. Takadama, S. Nakasuka, K. Shimohara. Robustness in Organizational-Learning Oriented Classifier System, Journal of Soft Computing: Special Issue on Learning Classifier System Springer-Verlag, Vol. 6, No. 3-4, pp. 229-239, 2002.
• Wada, A., Takadama K., 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., 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.
• 高玉 圭樹. あなたはトルシエ監督を越えられるか? マルチエージェントの相互作用を操作する, 平成14年度SICE関西支部講習会「最適化から適応・学習，そして創発へ -- より柔軟かつ効果的な問題解決を目指して」, pp. 43-50, 2002.
• K. Takadama, Y. L. Suematsu, N. Sugimoto, N. E. Nawa, K. Shimohara. X-MAS: Cross-validation in MultiAgent-based Simulation, The CASOS (Computational Analysis of Social and Organizational System) Conference 2002, 2002.
• 井上寛康, 高玉 圭樹, 下原 勝憲, 片井 修. 知識を再利用するクラシファイアシステムの複数の環境への適応, 人工知能学会，MYCOM'02(Meeting for Youth COMmunity), pp. 115-122, 2002.
• 和田充史, 高玉 圭樹, 下原 勝憲. エージェント間コミュニケーションによる自律的なシンボル獲得の研究, 人工知能学会，MYCOM'02(Meeting for Youth COMmunity), pp. 25-32, 2002.
• Suematsu, Y. L., Takadama, K., Nawa, N. E., Shimohara, K., 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.
• Inoue, H., Takadama, K., Shimohara, K., 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 presentation, 2002.
• Wada, A., Takadama K., Shimohara, K., 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 presentation, 2002.
• Suematsu, Y. L., Takadama, K., Nawa, N. E., Shimohara, K., 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-Agent(PRIMA'02)Summer School on Agents and Multiagent Systems, poster presentation, 2002.
• Suematsu, Y. L., Takadama, K., Nawa, N. E., Shimohara, K., Katai O.. Analyzing Level of the Micro Level Approaches and Its Implication in Agent-based Simulation, The 6th International Conference on Complex Systems (CS'02), pp. 44-51, 2002.
• Inoue, H., Takadama, K., Shimohara, K., 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.
• Keiki Takadama, Takao Terano, Katsunori Shimohara. Non-Governance Rather Than Governance in a Multiagent Economic Society, IEEE Transaction on Evolutionary Computation, Vol. 5, No. 5, pp. 535-545, Oct. 2001.  公式リンク  
  
• K. Takadama, H. Inoue, M. Okada, K. Shimohara, O. Katai. Agent Architecture based on Interactive Self-Reflection Classifier System, International Journal of Artificial Life and Robotics(AROB), Springer-Verlag, Vol. 5, No. 2, pp. 103-108, 2001.
• K. Takadama, K. Shimohara. Interactive Self-Reflection and Its Architecture Based on Cellular Automata, International Journal of Artificial Life and Robotics (AROB), Springer-Verlag, Vol. 5, No. 2, pp. 97-102, 2001.
• K. Takadama, T. Terano, K. Shimohara. Non-Governance Rather Than Governance in a Multiagent Economic Society, The IEEE Transactions On Evolutionary Computation, Vol. 5, No. 5, pp. 535-545, 2001.
• 高玉 圭樹. 組織学習の計算論的分析とオペレーション化, 特集: エージェントベースドアプローチ: 数理とシミュレーションによる組織科学研究のフロンティア，組織科学, Vol. 34, No. 2, pp. 36-45, 2000.
• 高玉圭樹, 寺野隆雄, 下原勝憲, 堀浩一, 中須賀真一. 組織学習に基づく分類子システムを用いた組織的問題解決への接近, 計測自動制御学会論文集, Vol. 35, No. 11, pp. 1486-1495, Nov. 1999.  公式リンク  
  
• Keiki Takadama, Takao Terano, Katsunori Shimohara, Koichi Hori, Shinichi Nakasuka. Making Organizational Learning Operational: Implication from Learning Classifier System, Computational and Mathematical Organization Theory, Springer US, Vol. 5, No. 3, pp. 229-252, Oct. 1999.  公式リンク  
  
• Keiki Takadama, Shinichi Nakasuka, Takao Terano. An Approach to Printed Circuit Board Design with Oraganizational Learning Agents, Systems and Computers in Japan, Vol. 30, No. 11, pp. 33-42, Oct. 1999.
• 高玉圭樹, 寺野隆雄, 下原勝憲, 堀浩一, 中須賀真一. マルチエージェント学習における知識の再利用と電気回路設計への応用, コンピュータソフトウェア, 岩波書店, Vol. 16, No. 5, pp. 37-49, Sept. 1999.  公式リンク  
  
• 高玉 圭樹, 寺野 隆雄, 下原 勝憲, 堀 浩一, 中須賀 真一. 組織学習に基づく分散分類子システムを用いた創発的問題解決への接近, 計測自動制御学会論文集, Vol. 35, No. 11, pp. 1486-1495, 1999.
• K. Takadama, T. Terano, K. Shimohara, K. Hori, S.Nakasuka. Making Organizational Learning Operational: Implication from Learning Classifier System, Computational and Mathematical Organization Theory (CMOT): Special Issue on Socially Situated Intelligence and Organizations, Kluwer Academic Publishers, Vol. 5, No. 3, pp. 229-252, 1999.
• 高玉 圭樹, 寺野 隆雄, 下原 勝憲, 堀 浩一, 中須賀 真一. マルチエージェント学習における知識の再利用と電気回路設計への応用, コンピュータソフトウェア, Vol. 16, No. 5, pp. 37-49, 1999.
• K. Takadama, S. Nakasuka, T. Terano. An Approach to Printed Circuit Boards Design with Organizational Learning Agents, Systems and Computers in Japan, John Wiley Sons, Vol. 30, No. 11, pp. 33-42, 1999.
• Keiki Takadama, Shinichi Nakasuka, Takao Terano. Printed Circuit Board Design via Organizational-Learning Agents, Applied Intelligece, Kluwer, Vol. 9, No. 1, pp. 25-36, July 1998.  公式リンク  
  
• 高玉圭樹, 中須賀真一, 寺野隆雄. 組織学習エージェントによるプリント基板設計問題への接近, 電子情報通信学会論文誌, Vol. J81-D-I, No. 5, pp. 514-522, May 1998.  公式リンク  
  
• K. Takadama, K. Hajiri, T. Nomura, K. Shimohara, S.Nakasuka. `Organizational Learning Model for Adaptive Collective Behaviors in Multiple Robots, Advanced Robotics (The international journal of the Robotics Society of Japan), VSP, Vol. 12, No. 3, pp. 243-269, 1998.
• K. Takadama, K. Hajiri, T. Nomura, M. Okada, S. Nakasuka, K. Shimohara. Learning Model for Adaptive Behaviors as an Organized Group of Swarm Robots, International Journal of Artificial Life and Robotics (AROB), Springer-Verlag, Vol. 2, No. 3, pp. 123-128, 1998.
• 高玉 圭樹, 中須賀 真一, 寺野 隆雄. 組織学習エージェントによるプリント基板設計問題への接近, 電子情報通信学会論文誌, Vol. 81-D-1, No. 5, pp. 514-522, 1998.
• K.Takadama, S. Nakasuka, T. Terano. Printed Circuit Board Design via Organizational-Learning Agents, Applied Intelligence: Special Issue on Intelligent Adaptive Agents, Kluwer Academic Publishers, Vol. 9, No. 1, pp. 25-37, 1998.

著書

• Yuta, K., Fujiwara, Y., Souma, W., Takadama, K., Shimohara, K., Katai, O.. ``A Partitioned Random Network Agent Model for Organizational Sectionalism Studies,''JSAI 2003/2004 Workshop Post-Proceedings, Lecture Notes in Computer Science,, Springer-Verlag, 2006.
• Suematsu, Y. L., Takadama, K., Shimohara, K., Katai, O., Arai, K.. ``Analyzing BARNGA Gaming Simulation through Modelling an Agent-Based Model,'' Agent Based Modeling Meets Gaming Simulation 2003,, Springer-Verlag, 2006.
• Takadama, K., Fujita, H.. ``Toward Guidelines for Modeling Learning Agents in Multiagent-Based Simulation: Implications from Q-learning and Sarsa agents,''in P. Davidsson, B. Logan, and K. Takadama (Eds.),Multi-Agent-Based Simulation IV, The First Joint Workshop on Multi-Agent and Multi-Agent-Based Simulation (MAMABS'04), Lecture Notes in Computer Science, Springer-Verlag,, Vol. 3415, pp. 159-172, 2005.
• Suematsu, Y. L., Takadama, K., Shimohara, K., Katai, O., Arai, K.. ``Evaluation Criteria for Learning Mechanisms Applied to Agents in a Cross-Cultural Simulation,'' Agent-Based Simulation: From Modeling Methodologies to Real-World Applications, Springer-Verlag, Vol. *, No. *, pp. 89-98, 2005.
• Davidsson, P., Logan, B., Takadama K. (Eds.). Multi-Agent-Based Simulation IV, The First Joint Workshop on Multi-Agent and Multi-Agent-Based Simulation (MAMABS'04), Lecture Notes in Computer Science, Springer-Verlag, Vol. 3415, 2005.
• Rothlauf, F., Blowers, M., Branke, J., Cagnoni, S., Garibay, I.I., Garibay, O., Grahl, J. Hornby, G., de Jong, E.D., Kovacs, T., Kumar, S., Lima, C.F., Llora, X., Lobo, F., Merkle, L.D., Miller, J., Moore, J.H., O'Neill, M., Pelikan, M., Riopka, T.P., Ritchie, M.D., Sastry, K., Smith, S.L., Stringer, H., Takadama, K., Toussaint, M., Upton, S.C., Wright, A.H., Yang, S. (Eds.):. Genetic and Evolutionary Computation Conference (GECCO 2005) Workshop,, ACM Press, 2005.
• Wada, A., Takadama, K., Shimohara, K., Katai, O.. ``Learning Classifier Systems with Convergence and Generalization,''in L. Bull and T. Kovacs (Eds.)Foundations of Learning Classifier Systems, Springer-Verlag, pp. 285-304, 2005.
• Keiki Takadama. Exploring Organizational-Learning Oriented Classifier System in Real-World Problems, Applications of Learning Classifier Systems, Applications of Learning Classifier Systems, Vol. *, No. *, pp. 182-200, 2004.
• A.Wada, K.Takadama, O.Katai. Autonomous Symbol Acquisition Through Agent Communication, Recent Advances in Simulated Evolution and learning World Scientific, Recent Advances in Simulated Evolution and learning World Scientific, pp. 711-728, 2004.
• Takadama, K., Suematsu, Y. L., Sugimoto, N., Nawa, N. E., Shimohara, K. Towards Verification and Validation in Multiagent-Based Systems and Simulations: Analyzing Different Learning Bargaining Agents, Post-proceedings of The 4th Workshop on Multi-Agent Based Simulation (MABS'03), Post-proceedings of The 4th Workshop on Multi-Agent Based Simulation (MABS'03), pp. 26-42, 2003.
• 高玉圭樹. マルチエージェント学習, コロナ社, コロナ社, 2003.
• Terano, T., Deguchi, H., Takadama K.. Meeting the Challenge of Social Problems via Agent-Based Simulation: Post Proceedings of The Second International Workshop on Agent-based Approaches in Economic and Social Complex Systems (AESCS'02), Springer-Verlag, Springer-Verlag, 2003.
• Suematsu, Y. L., Takadama, K., Nawa, N. E., Shimohara, K., Katai O.. The X-MAS SYSTEM: Toward Simulation Systems for Cross-Validation in Multiagent-based Simulation, Meeting the Challenge of Social Problems via Agent-Based Simulation: Post Proceedings of The Second International Workshop on Agent-based Approaches in Economic and Social Complex Systems (AESCS'02), Meeting the Challenge of Social Problems via Agent-Based Simulation: Post Proceedings of The Second International Workshop on Agent-based Approaches in Economic and Social Complex Systems (AESCS'02), Vol. *, No. *, pp. 171-184, 2003.
• Takao Terano, Hiroshi Deguchi, Keiki Takadama. Meeting the Challenge of Social Problems via Agent-Based Simulation, Springer-Verlag, Tokyo, Oct. 2003.  公式リンク  
• Takao Terano, Hiroshi Deguchi, Keiki Takadama. Meeting the challenge of Social Problems via Agent-Based Simulation, Springer, Springer-Verlag, Tokyo, July 2003.  公式リンク  
• K. Takadama, K. Shimohara. The Hare and The Tortoise - Cumulative Progress in Agent-Based Simulation -, Agent-based Approaches in Economic and Social Complex Systems, The IOS Press, Agent-based Approaches in Economic and Social Complex Systems, The IOS Press, pp. 3-14, 2002.
• Takao Terano, Hiroshi Deguchi, Keiki Takadama. Proceedings of The Second International Workshop on Agent-Based Approaches in Economic and Social Complex Systems, 2002.
• K. Takadama, T. Terano, K. Shimohara in P.L. Lanzi, W. Stolzmann, S.W. Wilson (Eds.). Learning Classifier Systems meet Multiagent Environments, Advances in Learning Classifier Systems,Lecture Notes in Artificial Intelligence,Springer--Verlag, Advances in Learning Classifier Systems,Lecture Notes in Artificial Intelligence,Springer--Verlag, Vol. 1996, pp. 192-210, 2001.
• K. Takadama, T. Terano, K. Shimohara, K. Hori, S.NakasukaV. in Loia, S. Sessa (Eds.). Towards a Multiagent Design Principle Analyzing an Organizational-Learning Oriented Classifier System, Soft Computing Agents: New Trends for Designing Autonomous Systems, The series of Studies in Fuzziness and Soft Computing, Springer--Verlag, Soft Computing Agents: New Trends for Designing Autonomous Systems, The series of Studies in Fuzziness and Soft Computing, Springer--Verlag, Vol. 6, pp. 147-168, 2001.
• K. Takadama, K. Shimohara;in T. Terano, T. Nishida, A. Namatame, S. Tsumoto, Y. Ohsawa, T. Washio (Eds.). Toward Cumulative Progress in Agent-Based Simulation, New Frontiers in Artificial Intelligence -- Joint JSAI 2001 WorkshopPost-Proceedings --, Lecture Notes in Computer Science, Springer--Verlag, New Frontiers in Artificial Intelligence -- Joint JSAI 2001 WorkshopPost-Proceedings --, Lecture Notes in Computer Science, Springer--Verlag, Vol. 2253, pp. 99-109, 2001.
• K. Takadama, M. Watabe, K. Shimohara, S. Nakasuka in H. Nakashima, C. Zhang (Eds.). How to design good rules for multiple learning agents in scheduling problems?, Lecture Notes in Artificial Intelligence,Springer-Verlag, Lecture Notes in Artificial Intelligence,Springer-Verlag, Vol. 1733, pp. 124-140, 1999.
• K. Takadama, S. Nakasuka, T. Terano in H.Y. Lee, H. Motoda (Eds.). Analyzing the Roles of Problem Solving and Learning in Organizational-Learning Oriented Classifier System, Lecture Notes in ArtificialIntelligence,Springer-Verlag, Lecture Notes in ArtificialIntelligence,Springer-Verlag, Vol. 1531, pp. 71-82, 1998.
• K. Takadama, K. Hajiri, T. Nomura, K. Shimohara, S. Nakasuka in G. Paun, A. Salomaa (Eds.). Grammatical Learning Model for Adaptive Collective Behaviors in Multiple Robots, Grammatical Models of Multi-Agent Systems, Gordon and Breach, Grammatical Models of Multi-Agent Systems, Gordon and Breach, pp. 345-355, 1998.

国際会議発表 (査読有り)

• Keiki Takadama, Takao Terano, Katsunori Shimohara, K.Hori, S.Nakasuka. Towards a Multiagent Design Principle -Analyzing an Organizational-Learning Oriented Classifer System-, Soft Computing Agents: New Trends for Designing Autonomous Systems, Physica-Verlag, Springer Publisher, 2001.  公式リンク  
  
• Keiki Takadama, Takao Terano, Katsunori Shimohara. Learning Classifier Systems Meet Multiagent Environments, Advances in Learning Classifier Sysems, Springer-Berlag, Berlin, pp. 192-212, 2001.
• Keiki Takadama, Takao Terano, Katsunori Shimohara. Role of Individual Evaluation in Multiagent Organization, The Fourth Annual Conference of the Japan Association for Evolutionary Economics, pp. 162-165, 2000.
• Keiki Takadama, Takao Terano, Katsunori Shimohara. Agent-Based Model Toward Organizational Computing: From Organizational Learning to Genetics-Based Machine Learning, 1999 IEEE International Conference on Systems, Man, and Cybernetics, 1999 (IEEE SMC '99), pp. 604-609, Oct. 1999.
• Keiki Takadama, Takao Terano, Katsunori Shimohara. Can Multiagents Learn in Organization? -- Analyzing Organizational Learning-Oriented Classifier System, IJCAI'99 Workshop on Agents Learning about, from and other Agents, Aug. 1999.  公式リンク  
  
• Keiki Takadama, Takao Terano, Katsunori Shimohara. How to Design Good Learning Agents in Organization?, Genetic and Evolutionary Computation Conference (GECCO'99), pp. 1398-1405, July 1999.  公式リンク  
  
• Keiki Takadama, Shinichi Nakasuka, Takao Terano. Analyzing the Roles of Problem Solving and Learning in Organizational-Learning Oriented Classifier System, PRICAI'98, Topics in Artificial Intelligence (LNAI 1531), Springer-Verlag, Berlin, pp. 71-82, 1998.
• Keiki Takadama, Takao Terano, Katsunori Shimohara, Koichi Hori, Shinichi Nakasuka. Toward Emergent Intelligence in Multiagent Learning, 4th International Symposium on Artificial Life and Robotics (AROB'98), pp. 464-467, 1998.
• Keiki Takadama, Takao Terano. Good Solutions will Emerge without a Global Objective Function: Applying Organizational-Learning Oriented Classifier System to Printed Circuit Board Design, IEEE International Conference on Systems, Man, and Cybernetics (SMC'97), pp. 3355-3360, Oct. 1997.

国内会議発表 (査読有り)

• 服部聖彦, 高玉圭樹, 村田 智, 古谷 寛, 上野浩史, 稲葉典康, 小田光茂. 宇宙太陽発電衛星における自律分散型故障診断システム, 第49回宇宙科学技術連合講演会, 日本航空宇宙学会第49回宇宙科学技術連合講演会, 2E14, pp. 820-825, Nov. 2005.

国際会議発表 (査読なし・不明)

• Nehashi, T., Takadama, K., 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),, The 11th International Symposium on Artificial Life and Robotics (AROB'06),, Vol. *, No. *, pp. 47-50, 2006.
• Higo, T., Takadama, K., Katuhara, M., 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), The 11th International Symposium on Artificial Life and Robotics (AROB'06), Vol. *, No. *, pp. 374-377, 2006.
• Takadama, K., 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),, The 8th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS'05),, Vol. *, No. *, pp. *, 2005.
• Takadama, K., 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 (North American Association for Computational Social and Organizational Science) Conference 2005,, Vol. *, No. *, pp. *, 2005.
• Miyazaki, Y., Furuya, H., Murata, S., 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), The 46th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics Materials Conference (SDM'05), Vol. *, No. *, 1-11, 2005.
• Murata, S., Furuya, H., Jodoi, D., Takadama, K., Terada, Y.. `Conceptual Study on Inflatable Tensegrity Module for Large Scale Space Structures and its Robotic Assembly,'', The 56th International Astronautical Congress (IAC'05), The 56th International Astronautical Congress (IAC'05), Vol. *, No. *, pp. *, 2005.
• Kawai, T., 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),, The 4th International Workshop on Agent-based Approaches in Economic and Social Complex Systems (AESCS'05),, Vol. *, No. *, pp. 129-140, 2005.
• Kawai, T., Koyama, Y., 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), The First International Workshop on Artificial Computational Economics Social Simulation (ACESS'05), Vol. *, No. *, pp. *, 2005.
• Kawai, T., Koyama, Y., 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), The First World Congress of the International Federation for Systems Research (IFSR'05), Vol. *, No. *, pp. S2-5-2,, 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),, The 4th International Workshop on Agent-based Approaches in Economic and Social Complex Systems (AESCS'05),, Vol. *, No. *, pp. 385-396, 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,, Agent 2005 Conference,, Vol. *, No. *, pp. *, 2005.
• Inoue, H., Takadama, K., Shimohara, K. ``Exploring XCS in Multiagent Environments,'', The 8th International Workshop on Learning Classifier Systems(IWLCS'05), The 8th International Workshop on Learning Classifier Systems(IWLCS'05), Vol. *, No. *, 109-111, 2005.
• Wada, A., Takadama, K., Shimohara, K:. ``Counter Example for Q-Bucket-Brigade under Prediction Problem,'', The 8th International Workshop on Learning Classifier Systems (IWLCS'05),, The 8th International Workshop on Learning Classifier Systems(IWLCS'05),, Vol. *, No. *, 94-99, 2005.
• Wada, A., Takadama, K., Shimohara, K. ``Learning Classifier System Equivalent with Reinforcement Learning with Function Approximation,'', The 8th International Workshop on Learning Classifier Systems(IWLCS'05),, The 8th International Workshop on Learning Classifier Systems(IWLCS'05),, Vol. *, No. *, pp. 92-93, 2005.
• Wada, A., Takadama, K., Shimohara, K:. ``Analyzing Strength-based Classifier System from Reinforcement Learning Perspective,'', The 7th International Conference on Artificial Evolution (EA'05), The 7th International Conference on Artificial Evolution (EA'05), Vol. *, No. *, pp. *, 2005.
• H.Inoue, Y.I.Leon, K.Takadama, K.Shimohara, O.Katai. Multi-Agent Learning Mechanizm Based on Diversity of Rules: From the View Point of LCS, The 10th International Symposium on Artificial Life and Robotics(AROB'05), The 10th International Symposium on Artificial Life and Robotics(AROB'05), Vol. *, No. *, pp. 547-550, 2005.

国内会議発表 (査読なし・不明)

• Suematsu, Y. L., Takadama, K., Shimohara, K., Katai:. ``A multiagent learning mechanism based on collective knowledge exchange,', 計測自動制御学会，第18回自律分散システムシンポジウム, 計測自動制御学会，第18回自律分散システムシンポジウム, Vol. *, No. *, pp. *, 2006.
• 高玉 圭樹. ``進化・学習するマルチエージェントシステムの設計指針を目指して－ 複数クラシファイアシステムからの展開 －，'', 第7回進化学会大会, 第7回進化学会大会, Vol. *, No. *, pp. *, 2005.
• 比護 貴之, 高玉 圭樹:. ``自己組織化サンプリングの提案とその最適化 手法－多峰性関数への適用－'', 人工知能学会第19回全国大会, 人工知能学会第19回全国大会, Vol. *, No. *, pp. *, 2005.
• 比護 貴之, 高玉 圭樹:. ``高次元多峰性関数最適化手法の提案''，, 計測自動制御学会，システム・情報部門学術講演会2005, 計測自動制御学会，システム・情報部門学術講演会2005, Vol. *, No. *, pp. 259-263, 2005.
• 服部 聖彦, 大隈 慎吾, 高玉 圭樹:. ``ニッチリーダーが音楽市場に与える効果 ?マニアは市場を動かすか？?,'', 計測自動制御学会，第35回システム工学部会研究会, 計測自動制御学会，第35回システム工学部会研究会, Vol. *, No. *, pp. 123-128, 2005.
• 服部 聖彦, 高玉圭樹, 村田　智, 古谷　寛, 上野浩史, 稲場典康, 小田光茂: `. ``宇宙太陽発電衛星における自律分散型故障診断システム　－実 規模に向けたスケーラビリティ解析－,'', 日本航空宇宙学会，第49回宇宙科学技術連合講演会, 日本航空宇宙学会，第49回宇宙科学技術連合講演会, Vol. *, No. *, pp. 820-825, 2005.
• 服部 聖彦, 高玉圭樹, 村田　智, 古谷　寛, 上野浩史, 小田光茂, 稲場典康:. ``動的主従関係による自律分散型故障診断アルゴリズム －間欠故障を含む非オブザーブ型診断を目指して－,'', JAWS'05 (Joint Agent Workshops and Symposium),, JAWS'05 (Joint Agent Workshops and Symposium),, Vol. *, No. *, 508-515,, 2005.
• 井上 寛康, 高玉 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,'', JAWS'05 (Joint Agent Workshops and Symposium), JAWS'05 (Joint Agent Workshops and Symposium), Vol. *, No. *, pp. 59-66, 2005.
• 和田 充史, 高玉 圭樹, 下原 勝憲. ``進化型強化学習システムとしての学習分類子システムの分析'', 電気学会，進化技術調査専門委員会 第２回研究発表会 「進化技術と情報システム」, 電気学会，進化技術調査専門委員会 第２回研究発表会 「進化技術と情報システム」, Vol. *, No. *, pp. *, 2005.
• 和田 充史, 井上 寛康, 高玉 圭樹, 下原 勝憲. ``エージェントの協調関係と状態一般化に関する考察'',, 計測自動制御学会，システム・情報部門学術講演会2005, 計測自動制御学会，システム・情報部門学術講演会2005, Vol. *, No. *, pp. 82-85,, 2005.
• 古谷 寛, 村田 智, 上土井 大助, 寺田 弦, 高玉 圭樹:. ``インフレータブル・テンセグリティの構造特性,'', 第47回構造強度に関する講演会, 第47回構造強度に関する講演会, Vol. *, No. *, pp. 240-242, 2005.
• 古谷 寛, 中原 麻希子, 村田 智, 上土井 大助, 寺田 弦, 高玉 圭樹:. ``インフレータブル・テンセグリティの構造モジュールによる展開構造物の試作,'', 日本航空宇宙学会，第49回宇宙科学技術連合講演会, 日本航空宇宙学会，第49回宇宙科学技術連合講演会, Vol. *, No. *, 660-664,, 2005.
• 能島 秀宜, 高玉 圭樹. ``エージェント間コミュニケーションにおけるシンボル理解と記憶の関係'', 人工知能学会，第61回人工知能基本問題研究会(SIG-FPAI), 人工知能学会，第61回人工知能基本問題研究会(SIG-FPAI), Vol. *, No. *, pp. 19-24, 2005.
• 菅崎 大地, 高玉 圭樹:. ``遷移確率を用いた類似エージェントの期待値推定'', 計測自動制御学会，システム・情報部門学術講演会2005, 計測自動制御学会，システム・情報部門学術講演会2005, Vol. *, No. *, 64-69, 2005.
• 村上 拓磨, 高玉 圭樹:. `パーティクルフィルタを用いた宇宙機故障判定に関する研究'', 計測自動制御学会，システム・情報部門学術講演会2005, 計測自動制御学会，システム・情報部門学術講演会2005, Vol. *, No. *, pp. 405-410, 2005.
• 高玉圭樹, 寺野隆雄, 下原勝憲. エージェント・ベースド・シミュレーションに埋め込まれた鍵は可視化できるのか？, 計測自動制御学会システム工学部会・知能工学部会共催研究会（社会組織のマルチエージェントシステム分析）, pp. 107-112, Mar. 2001.  公式リンク  
  
• 高玉圭樹, 寺野隆雄, 下原勝憲. マルチエージェント学習における機能獲得に関する考察, 人工知能学会全国大会(第13回), pp. 290-293, June 1999.  公式リンク  
  
• 高玉圭樹, 寺野隆雄, 下原勝憲. Interpretation by Implementation -マルチエージェント設計への試み-, 人工知能学会全国大会(第13回), pp. 571-574, June 1999.  公式リンク  
  
• 高玉圭樹, 中須賀真一, 寺野隆雄. 組織的計算モデルに関する考察, 人工知能学会全国大会(第12回), pp. 546-549, June 1998.
• 寺野隆雄, 高玉圭樹. 分類子システムに基づくエージェントの組織学習モデル, 経営情報学会1997年秋季全国研究発表会, pp. 128-131, Nov. 1997.  公式リンク  
  

その他の論文・著書など

• 高玉 圭樹. ``相互作用の本質に迫る'', 「相互作用の本質に迫る: 知的システムの理解と設計の新視点」特集号，計測自動制御学会，計測と制御, Vol. 44, No. 12, 817-818, 2005.
• 高玉 圭樹. ``相互作用の設計原理を目指して', 「相互作用の本質に迫る: 知的システムの理解と設計の新視点」特集号，計測自動制御学会，計測と制御，, Vol. 44, No. 12, 831-835, 2005.
• 高玉 圭樹:. ``マルチエージェントに基づくシミュレーション：理論と現実をつなぐかけ橋'', 第49回人工知能セミナー，「HAI：ヒューマンエージェントインタラクション－人のよきパートナーとしてのエージェントを設計する, Vol. *, No. *, 59-73, 2005.

学位論文

• マルチエージェントによる組織学習の方法に関する研究,  本文,  Doctor of Engineering,  University of Tokyo,  1998/--/--, 

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