Description |
1 online resource (x, 238 pages) : illustrations |
Series |
Lecture notes in computer science ; 1042. Lecture notes in artificial intelligence |
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Lecture notes in computer science ; 1042.
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Lecture notes in computer science. Lecture notes in artificial intelligence
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Contents |
Adaptation and learning in multi-agent systems : some remarks and a bibliography / Gerhard Weiss -- Refinement in agent groups / Ciara Byrne and Peter Edwards -- Opponent modeling in multi-agent systems / David Carmel and Shaul Markovitch -- A multi-agent environment for Department of Defense distributions / Laurence Glicoes, Richard Staats, and Michael Huhns -- Mutually supervised learning in multiagent systems / Claudia V. Goldman and Jeffrey S. Rosenschein -- A framework for distributed reinforcement learning / Pan Gu and Anthony B. Maddox -- Evolving behavioral strategies in predators and prey / Thomas Haynes and Sandip Sen -- To learn or not to learn / Anupam Joshi -- A user-adaptive interface agency for interaction with a virtual environment / Britta Lenzmann and Ipke Wachsmuth -- Learning in multi-robot systems / Maja J. Matarić -- Learn your opponent's strategy (in polynomial time)! / Yishay Mor, Claudia V. Goldman, and Jeffrey S. Rosenschein -- Learning to reduce communication cost on task negotiation among multiple autonomous mobile robots / Takuya Ohko, Kazuo Hiraki, and Yuichiro Anzai -- On multiagent Q-learning in a semi-competitive domain / Tuomas W. Sandholm and Robert H. Crites -- Using reciprocity to adapt to others ; Multiagent coordination with learning classifier systems / Sundip Sen and Mahendra Sekaran |
Summary |
This book is based on the workshop on Adaptation and Learning in Multi-Agent Systems, held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI'95, in Montreal, Canada in August 1995. The 14 thoroughly reviewed revised papers reflect the whole scope of current aspects in the field: they describe and analyze, both experimentally and theoretically, new learning and adaption approaches for situations in which several agents have to cooperate or compete. Also included, and aimed at the novice reader, are a comprehensive introductory survey on the area with 154 references listed and a subject index. As the first book solely devoted to this area, this volume documents the state of the art and is thus indispensable for anyone active or interested in the field |
Bibliography |
Includes bibliographical references and index |
Notes |
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. http://purl.oclc.org/DLF/benchrepro0212 MiAaHDL |
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digitized 2010 HathiTrust Digital Library committed to preserve pda MiAaHDL |
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Print version record |
Subject |
Machine learning -- Congresses
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Distributed artificial intelligence -- Congresses
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Electronic data processing -- Distributed processing -- Congresses
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Distributed artificial intelligence
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Electronic data processing -- Distributed processing
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Machine learning
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Agentia.
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Apprentissage automatique -- Congrès.
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Traitement réparti -- Congrès.
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Intelligence artificielle -- Traitement réparti -- Congrès.
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Genre/Form |
Conference papers and proceedings
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Congressen (vorm)
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Form |
Electronic book
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Author |
Weiss, Gerhard, 1962-
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Sen, Sandip, 1964-
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ISBN |
9783540497264 |
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3540497269 |
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