Keiki Takadama

Tomohiro Harada, Keiki Takadama: Asynchronous Evaluation Based Genetic Programming: Comparison of Asynchronous and Synchronous Evaluation and Its Analysis. EuroGP 2013: 241-252

Harith Alani, Bo An, Manish Jain, Takashi Kido, George Konidaris, William F. Lawless, David Martin, Caroline Pantofaru, Donald A. Sofge, Keiki Takadama, Milind Tambe, Tomas Vitvar: Reports of the AAAI 2012 Spring Symposia. AI Magazine 33(3): 109-114 (2012)

Masaya Nakata, Pier Luca Lanzi, Keiki Takadama: Enhancing Learning Capabilities by XCS with Best Action Mapping. PPSN (1) 2012: 256-265

Masaya Nakata, Pier Luca Lanzi, Keiki Takadama: XCS with Adaptive Action Mapping. SEAL 2012: 138-147

Keiji Sato, Keiki Takadama: Pittsburgh-style learning classifier system for multiple environments: towards robust waterbus route for several situations. IJBIC 3(6): 370-383 (2011)

Kiyoshi Izumi, Keiki Takadama, Hiromitsu Hattori, Nariaki Nishino, Itsuki Noda: Social and Group Simulation Based on Real Data Analysis. JACIII 15(2): 166-172 (2011)

Tomohiro Harada, Masayuki Otani, Yoshihiro Ichikawa, Kiyohiko Hattori, Hiroyuki Sato, Keiki Takadama: Robustness to Bit Inversion in Registers and Acceleration of Program Evolution in On-Board Computer. JACIII 15(8): 1175-1185 (2011)

Masayuki Otani, Kiyohiko Hattori, Hiroyuki Sato, Keiki Takadama: Improving Recovery Capability of Multiple Robots in Different Scale Structure Assembly. JACIII 15(8): 1186-1196 (2011)

Keiki Takadama, Atsushi Otaki, Keiji Sato, Hiroyasu Matsushima, Masayuki Otani, Yoshihiro Ichikawa, Kiyohiko Hattori, Hiroyuki Sato: What Kinds of Human Negotiation Skill Can Be Acquired by Changing Negotiation Order of Bargaining Agents? HCI (12) 2011: 335-344

Eriko Azuma, Tomohiro Shimada, Keiki Takadama, Hiroyuki Sato, Kiyohiko Hattori: The Biased Multi-objective Optimization Using the Reference Point: Toward the Industrial Logistics Network. ICMLA (2) 2011: 27-30

Masaya Nakata, Fumiaki Sato, Keiki Takadama: Towards generalization by identification-based XCS in multi-steps problem. NaBIC 2011: 389-394

Tomohiro Harada, Keiki Takadama: Adaptive mutation depending on program size in asynchronous program evolution. NaBIC 2011: 433-438

Keiki Takadama, Kazuyuki Hirose, Hiroyasu Matsushima, Kiyohiko Hattori, Nobuo Nakajima: Learning Multiple Band-Pass Filters for Sleep Stage Estimation: Towards Care Support for Aged Persons. IEICE Transactions 93-B(4): 811-818 (2010)

Atsushi Otaki, Kiyohiko Hattori, Keiki Takadama: Toward Strategic Human Skill Development Through Human and Agent Interaction: Improving Negotiation Skill by Interacting with Bargaining Agent. JACIII 14(7): 831-839 (2010)

Hiroyasu Matsushima, Kiyohiko Hattori, Hiroyuki Sato, Keiki Takadama: Dynamic matching range in Exemplar-based Learning Classifier System. IEEE Congress on Evolutionary Computation 2010: 1-8

Saori Iseya, Keiki Takadama: Evolutionary optimization for hub and spoke network based on demand and operation. NaBIC 2010: 678-683

Tomohiro Shimada, Masayuki Otani, Hiroyasu Matsushima, Hiroyuki Sato, Kiyohiko Hattori, Keiki Takadama: Hybrid Directional-Biased Evolutionary Algorithm for Multi-Objective Optimization. PPSN (2) 2010: 121-130

Atsushi Wada, Keiki Takadama: Analyzing Strength-Based Classifier System from Reinforcement Learning Perspective. JACIII 13(6): 631-639 (2009)

Atsushi Wada, Keiki Takadama: Is Gradient Descent Update Consistent with Accuracy-Based Learning Classifier System?. JACIII 13(6): 640-648 (2009)

Yasuyo Hatcho, Kiyohiko Hattori, Keiki Takadama: Time Horizon Generalization in Reinforcement Learning: Generalizing Multiple Q-Tables in Q-Learning Agents. JACIII 13(6): 667-674 (2009)

Hiroyasu Matsushima, Kiyohiko Hattori, Keiki Takadama: Exemplar Generalization in Reinforcement Learning: Improving Performance with Fewer Exemplars. JACIII 13(6): 683-690 (2009)

Yuya Ushida, Kiyohiko Hattori, Keiki Takadama: From My Agent to Our Agent: Exploring Collective Adaptive Agent via Barnga. Australasian Conference on Artificial Intelligence 2009: 41-51

Juliette Rouchier, Claudio Cioffi-Revilla, Gary Polhill, Keiki Takadama: Progress in Model-To-Model Analysis. J. Artificial Societies and Social Simulation 11(2) (2008)

Keiki Takadama, Tetsuro Kawai, Yuhsuke Koyama: Micro- and Macro-Level Validation in Agent-Based Simulation: Reproduction of Human-Like Behaviors and Thinking in a Sequential Bargaining Game. J. Artificial Societies and Social Simulation 11(2) (2008)

Jaume Bacardit, Ester Bernadó-Mansilla, Martin V. Butz, Tim Kovacs, Xavier Llorà, Keiki Takadama (Eds.): Learning Classifier Systems, 10th International Workshop, IWLCS 2006, Seattle, MA, USA, July 8, 2006 and 11th International Workshop, IWLCS 2007, London, UK, July 8, 2007, Revised Selected Papers. Lecture Notes in Computer Science 4998, Springer 2008, isbn 978-3-540-88137-7

Takayuki Higo, Keiki Takadama: Hierarchical importance sampling instead of annealing. IEEE Congress on Evolutionary Computation 2007: 134-141

Keiki Takadama, Takahiro Majima, Daisuke Watanabe, Mitsujiro Katsuhara: Exploring Quantitative Evaluation Criteria for Service and Potentials of New Service in Transportation: Analyzing Transport Networks of Railway, Subway, and Waterbus. IDEAL 2007: 1122-1130

Takahiro Majima, Mitujiro Katuhara, Keiki Takadama: Analysis on Transport Networks of Railway, Subway and Waterbus in Japan. Emergent Intelligence of Networked Agents 2007: 99-113

Tim Kovacs, Xavier Llorà, Keiki Takadama, Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson (Eds.): Learning Classifier Systems, International Workshops, IWLCS 2003-2005, Revised Selected Papers. Lecture Notes in Computer Science 4399, Springer 2007, isbn 978-3-540-71230-5

Luis Antunes, Keiki Takadama (Eds.): Multi-Agent-Based Simulation VII, International Workshop, MABS 2006, Hakodate, Japan, May 8, 2006, Revised and Invited Papers. Lecture Notes in Computer Science 4442, Springer 2007, isbn 978-3-540-76536-3

Keiki Takadama, Tetsuro Kawai, Yuhsuke Koyama: Can Agents Acquire Human-Like Behaviors in a Sequential Bargaining Game? - Comparison of Roth's and Q-Learning Agents -. MABS 2006: 156-171

Atsushi Wada, Keiki Takadama, Katsunori Shimohara: Learning classifier system equivalent with reinforcement learning with function approximation. GECCO Workshops 2005: 92-93

Atsushi Wada, Keiki Takadama, Katsunori Shimohara: Counter example for Q-bucket-brigade under prediction problem. GECCO Workshops 2005: 94-99

Hiroyasu Inoue, Keiki Takadama, Katsunori Shimohara: Exploring XCS in multiagent environments. GECCO Workshops 2005: 109-111

Atsushi Wada, Keiki Takadama, Katsunori Shimohara, Osamu Katai: Analyzing Parameter Sensitivity and Classifier Representations for Real-Valued XCS. IWLCS 2005: 1-16

Atsushi Wada, Keiki Takadama, Katsunori Shimohara: Counter Example for Q-Bucket-Brigade Under Prediction Problem. IWLCS 2005: 128-143

Paul Davidsson, Brian Logan, Keiki Takadama (Eds.): Multi-Agent and Multi-Agent-Based Simulation, Joint Workshop MABS 2004, New York, NY, USA, July 19, 2004, Revised Selected Papers. Lecture Notes in Computer Science 3415, Springer 2005, isbn 3-540-25262-2

Kikuo Yuta, Yoshi Fujiwara, Wataru Souma, Keiki Takadama, Katsunori Shimohara, Osamu Katai: A Partitioned Random Network Agent Model for Organizational Sectionalism Studies. JSAI Workshops 2004: 114-125

Keiki Takadama, Hironori Fujita: Toward Guidelines for Modeling Learning Agents in Multiagent-Based Simulation: Implications from Q-Learning and Sarsa Agents. MABS 2004: 159-172

Yutaka I. Leon-Suematsu, Keiki Takadama, Norberto Eiji Nawa, Katsunori Shimohara, Osamu Katai: Analyzing the Agent-Based Model and its Implications. Advances in Complex Systems 6(3): 331-348 (2003)

Keiki Takadama, Shuichi Matsumoto, Shinichi Nakasuka, Katsunori Shimohara: A reinforcement learning approach to fail-safe design for multiple space robots--cooperation mechanism without communication and negotiation schemes. Advanced Robotics 17(1): 21-39 (2003)

Keiki Takadama, Takao Terano, Katsunori Shimohara: Interpretation by Implementation for Understanding a Multiagent Organization. Computational & Mathematical Organization Theory 9(1): 19-35 (2003)

Keiki Takadama, Yutaka L. Suematsu, Norikazu Sugimoto, Norberto Eiji Nawa, Katsunori Shimohara: Cross-Element Validation in Multiagent-based Simulation: Switching Learning Mechanisms in Agents. J. Artificial Societies and Social Simulation 6(4) (2003)

Keiki Takadama, Yutaka L. Suematsu, Norikazu Sugimoto, Norberto Eiji Nawa, Katsunori Shimohara: Towards Verification and Validation in Multiagent-Based Systems and Simulations: Analyzing Different Learning Bargaining Agents. MABS 2003: 26-42

Keiki Takadama, Shinichi Nakasuka, Katsunori Shimohara: Robustness in organizational-learning oriented classifier system. Soft Comput. 6(3-4): 229-239 (2002)

Keiki Takadama, Yutaka L. Suematsu, Norberto Eiji Nawa, Katsunori Shimohara: Cross-validation In Multiagent-based Simulation: Analyzing Evolutionary Bargaining Agents. GECCO 2002: 121-128

Keiki Takadama, Takao Terano, Katsunori Shimohara: Nongovernance rather than governance in a multiagent economic society. IEEE Trans. Evolutionary Computation 5(5): 535-545 (2001)

Keiki Takadama, Katsunori Shimohara: Toward Cumulative Progress in Agent-Based Simulation. JSAI Workshops 2001: 99-109

Keiki Takadama, Takao Terano, Katsunori Shimohara: Learning Classifier Systems Meet Multiagent Environments. IWLCS 2000: 192-212

Keiki Takadama, Takao Terano, Katsunori Shimohara, Koichi Hori, Shinichi Nakasuka: Making Organizational Learning Operational: Implications from Learning Classifier Systems. Computational & Mathematical Organization Theory 5(3): 229-252 (1999)

Keiki Takadama, Shinichi Nakasuka, Takao Terano: An approach to printed circuit board design with organizational learning agents. Systems and Computers in Japan 30(11): 33-42 (1999)

Keiki Takadama, Koichiro Hajiri, Tatsuya Nomura, Katsunori Shimohara, Shinichi Nakasuka: Grammatical Learning Model for Adaptive Collective Behaviors in Multiple Robots. Grammatical Models of Multi-Agent Systems 1999: 343-355

Keiki Takadama, Masakazu Watabe, Katsunori Shimohara, Shinichi Nakasuka: How to Design Good Results for Multiple Learning Agents in Scheduling Problems? PRIMA 1999: 126-140

Keiki Takadama, Shinichi Nakasuka, Takao Terano: Printed Circuit Board Design via Organizational-Learning Agents. Appl. Intell. 9(1): 25-37 (1998)

Keiki Takadama, Shinichi Nakasuka, Takao Terano: Amalyzing the Roles of Problem Solving and Learning in Organizational-Learning Oriented Classifier System. PRICAI 1998: 71-82

Keiki Takadama, Koichiro Hajiri, Tatsuya Nomura, Katsunori Shimohara, Shinichi Nakasuka: Organizational learning model for adaptive collective behaviors in multiple robots. Advanced Robotics 12(3): 243-269 (1997)

Keiki Takadama, Shinichi Nakasuka: Self Organization of Individual Intelligence and Emergence of Communication in an Artificial Organism Population. German Conference on Bioinformatics 1996: 322-324