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020 _a9783662494707
040 _aES-MaUEC
050 4 _aQA76.76.I58
_bH365 2016 EB
100 1 _aHao, Jianye
_9100302
_0Local
245 1 0 _aInteractions in Multiagent Systems: Fairness, Social Optimality and Individual Rationality
_cby Jianye Hao, Ho-fung Leung
260 _aBerlin, Heidelberg
_bSpringer Berlin Heidelberg
_c2016
300 _a1 recurso en línea (IX, 178 p.) 122 il., 11 il. col.
336 _aTexto (visual)
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
520 _aThis book mainly aims at solving the problems in both cooperative and competitive multi-agent systems (MASs), exploring aspects such as how agents can effectively learn to achieve the shared optimal solution based on their local information and how they can learn to increase their individual utility by exploiting the weakness of their opponents. The book describes fundamental and advanced techniques of how multi-agent systems can be engineered towards the goal of ensuring fairness, social optimality, and individual rationality; a wide range of further relevant topics are also covered both theoretically and experimentally. The book will be beneficial to researchers in the fields of multi-agent systems, game theory and artificial intelligence in general, as well as practitioners developing practical multi-agent systems
942 _2lcc
_cLE
988 _aEBOOK, EBSPRINGER
650 7 _aAgentes inteligentes (Programas de ordenador)
_0comprobar BNE20030285364
_2embne
_9160930
700 1 _aLeung, Ho-fung
_9100303
_0Local
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-662-49470-7
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901 _ai9783662494707
907 _a.b12958001
_b10-10-17
_c21-11-16
998 _am
_a_alco
_a_vill
_b13-03-17
_cm
_dz
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