000			03012nam a2200361 i 4500
001			CR9780511811654
003			UkCbUP
005			20240730160741.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			101021s2009||||enk o ||1 0|eng|d
020			_a9780511811654 (ebook)
020			_z9780521899437 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQA76.76.I58 _bS75 2009
082	0	0	_a006.3 _222
100	1		_aShoham, Yoav, _eauthor. _974409
245	1	0	_aMultiagent systems : _balgorithmic, game-theoretic, and logical foundations / _cYoav Shoham, Kevin Leyton-Brown.
264		1	_aCambridge : _bCambridge University Press, _c2009.
300			_a1 online resource (xx, 483 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
505	0		_aDistributed constraint satisfaction -- Distributed optimization -- Introduction to noncooperative game theory: games in normal form -- Computing solution concepts of normal-form games -- Games with sequential actions: reasoning and computing with the extensive form -- Richer representations: beyond the normal and extensive forms -- Learning and teaching -- Communication -- Aggregating preferences: social choice -- Protocols for strategic agents: mechanism design -- Protocols for multiagent resource allocation: auctions -- Teams of selfish agents: an introduction to coalitional game theory -- Logics of knowledge and relief -- Beyond belief: probability, dynamics, and intention.
520			_aMultiagent systems combine multiple autonomous entities, each having diverging interests or different information. This 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.
650		0	_aIntelligent agents (Computer software) _974410
650		0	_aElectronic data processing _xDistributed processing. _93666
700	1		_aLeyton-Brown, Kevin, _d1975- _eauthor. _974411
776	0	8	_iPrint version: _z9780521899437
856	4	0	_uhttps://doi.org/10.1017/CBO9780511811654
942			_cEBK
999			_c84119 _d84119