000			02685nam a22002297a 4500
999			_c1363 _d1363
005			20211012124252.0
008			211012b ||||| |||| 00| 0 eng d
020			_a9780521899437
082			_a006.3 _bSHO
100			_aShoham, Yoav _94081
245			_aMultiagent systems: algorithmic, game-theoretic, and logical foundations
260			_bCambridge University Press _aNew York _c2009
300			_axx, 483 p.
365			_aGBP _b53.00
504			_aTable of Contents 1. Distributed constraint satisfaction 2. Distributed optimization 3. Introduction to non-cooperative game theory 4. Computing solution concepts of normal-form games 5. Games with sequential actions 6. Richer representations 7. Learning and teaching 8. Communication 9. Aggregating preferences 10. Protocols for strategic agents 11. Protocols for multiagent resource allocation 12. Teams of selfish agents 13. Logics of knowledge and belief 14. Beyond belief.
520			_aThis 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. First rigorous introduction covering multiagent systems Covers broad area including computer science, game theory, and logic Does not require knowledge beyond typical undergraduate study and offers background material for probability theory, classical logic, and mathematical programming
650			_aElectronic data processing--Distributed processing _94082
650			_aMultiagent systems _94083
650			_aIntelligent agents (Computer software) _94084
700			_aLeyton-Brown, Kevin _94085
942			_2ddc _cBK