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Multiagent systems PDF

532 Pages·2008·3.348 MB·English
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by Yoav Shoham, Kevin Leyton-Brown| 2008| 532 pages| 3.348| English

About Multiagent systems

This exciting and pioneering new overview of multiagent systems, which are online systems composed of multiple interacting intelligent agents, i.e., online trading, offers a newly seen computer science perspective on multiagent systems, while integrating ideas from operations research, game theory, economics, logic, and even philosophy and linguistics. 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. Written by two of the leading researchers of this engaging field, this book will surely serve as THE reference for researchers in the fastest-growing area of computer science, and be used as a text for advanced undergraduate or graduate courses.

Detailed Information

Author:Yoav Shoham, Kevin Leyton-Brown
Publication Year:2008
ISBN:9780521899437
Pages:532
Language:English
File Size:3.348
Format:PDF
Price:FREE
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