Adaption and learning in multi-agent systems : IJCAI '95 workshop, Montréal, Canada, August 21, 1995, proceedings /

"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...

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Bibliographic Details
Corporate Authors: International Joint Conference on Artificial Intelligence Montréal, Québec, SpringerLink (Online service)
Other Authors: Weiss, Gerhard, 1962-, Sen, Sandip, 1964-
Format: Conference Proceeding eBook
Language:English
Published: Berlin ; New York : Springer, [1996]
Series:Lecture notes in computer science ; 1042.
Lecture notes in computer science. Lecture notes in artificial intelligence.
Subjects:
Online Access:Connect to the full text of this electronic book
Table of 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.