000 03316nam a22005415i 4500
001 978-3-031-01545-8
003 DE-He213
005 20240730163624.0
007 cr nn 008mamaa
008 220601s2008 sz | s |||| 0|eng d
020 _a9783031015458
_9978-3-031-01545-8
024 7 _a10.1007/978-3-031-01545-8
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aLeyton-Brown, Kevin.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_979565
245 1 0 _aEssentials of Game Theory
_h[electronic resource] :
_bA Concise Multidisciplinary Introduction /
_cby Kevin Leyton-Brown, Yoav Shoham.
250 _a1st ed. 2008.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2008.
300 _aXVI, 88 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Artificial Intelligence and Machine Learning,
_x1939-4616
505 0 _aGames in Normal Form -- Analyzing Games: From Optimality to Equilibrium -- Further Solution Concepts for Normal-Form Games -- Games with Sequential Actions: The Perfect-information Extensive Form -- Generalizing the Extensive Form: Imperfect-Information Games -- Repeated and Stochastic Games -- Uncertainty about Payoffs: Bayesian Games -- Coalitional Game Theory -- History and References -- Index.
520 _aGame theory is the mathematical study of interaction among independent, self-interested agents. The audience for game theory has grown dramatically in recent years, and now spans disciplines as diverse as political science, biology, psychology, economics, linguistics, sociology, and computer science, among others. What has been missing is a relatively short introduction to the field covering the common basis that anyone with a professional interest in game theory is likely to require. Such a text would minimize notation, ruthlessly focus on essentials, and yet not sacrifice rigor. This Synthesis Lecture aims to fill this gap by providing a concise and accessible introduction to the field. It covers the main classes of games, their representations, and the main concepts used to analyze them.
650 0 _aArtificial intelligence.
_93407
650 0 _aMachine learning.
_91831
650 0 _aNeural networks (Computer science) .
_979566
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aMachine Learning.
_91831
650 2 4 _aMathematical Models of Cognitive Processes and Neural Networks.
_932913
700 1 _aShoham, Yoav.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_979567
710 2 _aSpringerLink (Online service)
_979568
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031000201
776 0 8 _iPrinted edition:
_z9783031004179
776 0 8 _iPrinted edition:
_z9783031026737
830 0 _aSynthesis Lectures on Artificial Intelligence and Machine Learning,
_x1939-4616
_979569
856 4 0 _uhttps://doi.org/10.1007/978-3-031-01545-8
912 _aZDB-2-SXSC
942 _cEBK
999 _c84802
_d84802