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 Title: Multiagent Systems: Algorithmic, GameTheoretic, and Logical Foundations
 Author(s) Yoav Shoham, Kevin LeytonBrown
 Publisher: Cambridge University Press (December 15, 2008), eBook (Revision 1.1, 2010)
 Permission: We have worked with Cambridge University Press to keep the book affordable and to make it broadly accessible. ... Thus, on this page we provide a free electronic copy of Multiagent Systems.
 Hardcover: 504 pages
 eBook: PDF (3.73 MB)
 Language: English
 ISBN10: 0521899435
 ISBN13: 9780521899437
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Book Description
Multiagent systems are those systems that include multiple autonomous entities with either diverging information or diverging interests, or both. This comprehensive introduction to a burgeoning field is written from a computer science perspective, while bringing together ideas from operations research, game theory, economics, logic, and even philosophy and linguistics.
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.
About the Authors Yoav Shoham is Professor of Computer Science at Stanford University.
 Game Theory
 Algorithms and Data Structures
 Mathematical Logic  Set Theory, Model Theory, Proof Theory, Computability, etc.
 Multiagent Systems: Algorithmic, GameTheoretic, and Logical Foundations
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