Multiagent Systems Algorithmic, Game-Theoretic, and Logical Foundations

ISBN-10: 0521899435

ISBN-13: 9780521899437

Edition: 2008

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Description: Multiagent systems combine multiple autonomous entities, each having diverging interests or different information. This comprehensive overview of the field offers a computer science perspective, but also draws on ideas from game theory, economics, operations research, logic, philosophy and linguistics. It will serve as a reference for researchers in each of these fields, and be used as a text for advanced undergraduate or graduate courses. The authors emphasize foundations to create a broad and rigorous treatment of their subject, with thorough presentations of distributed problem solving, game theory, multiagent communication and learning, social choice, mechanism design, auctions, cooperative game theory, and modal logics of knowledge and belief. For each topic, basic concepts are introduced, examples are given, proofs of key results are offered, and algorithmic considerations are examined. An appendix covers background material in probability theory, classical logic, Markov decision processes and mathematical programming.

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Book details

List price: $74.99
Copyright year: 2008
Publisher: Cambridge University Press
Publication date: 12/15/2008
Binding: Hardcover
Pages: 504
Size: 7.00" wide x 10.25" long x 1.25" tall
Weight: 1.628
Language: English

Yoav Shoham is Professor of Computer Science at Stanford University.

Distributed constraint satisfaction
Distributed optimization
Introduction to non-cooperative game theory
Computing solution concepts of normal-form games
Games with sequential actions
Richer representations
Learning and teaching
Communication
Aggregating preferences
Protocols for strategic agents
Protocols for multiagent resource allocation
Teams of selfish agents
Logics of knowledge and belief
Beyond belief
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