Adaptation and Learning in Multi-Agent Systems

IJCAI' 95 Workshop, Montreal, Canada, August 21, 1995. Proceedings.

Häftad, Engelska, 1996

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This work 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 papers describe and analyze, both experimentally and theoretically, new learning and adaption approaches for situations in which several agents have to co-operate or compete. Also included, and aimed at the novice reader, are a comprehensive introductory survey on the areas with 154 references listed and a subject index.

Produktinformation

Utgivningsdatum1996-02-27
Mått155 x 235 x 15 mm
Vikt394 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor568
Upplaga1996
FörlagSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN9783540609230

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Systemvetenskap och AI inom Data och it
Programmeringsböcker inom Data och it
Artificiell intelligens inom Data och it

Adaptation and learning in multi-agent systems: Some remarks and a bibliography.- Refinement in agent groups.- Opponent modeling in multi-agent systems.- A multi-agent environment for department of defense distribution.- Mutually supervised learning in multiagent systems.- A framework for distributed reinforcement learning.- Evolving behavioral strategies in predators and prey.- To learn or not to learn .......- A user-adaptive interface agency for interaction with a virtual environment.- Learning in multi-robot systems.- Learn your opponent's strategy (in polynomial time)!.- Learning to reduce communication cost on task negotiation among multiple autonomous mobile robots.- On multiagent Q-learning in a semi-competitive domain.- Using reciprocity to adapt to others.- Multiagent coordination with learning classifier systems.