Interactions in Multiagent Systems: Fairness, Social Optimality and Individual Rationality (Hardcover, 1st ed. 2016)

This 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.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Release date:	April 2016
First published:	2016
Authors:	Jianye Hao • Ho-Fung Leung
Dimensions:	235 x 155 x 14mm (L x W x T)
Format:	Hardcover
Pages:	178
Edition:	1st ed. 2016
ISBN-13:	978-3-662-49468-4
Categories:	Books > Computing & IT > Computer software packages > General Books > Science & Mathematics > Mathematics > Optimization > Game theory Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-662-49468-X
Barcode:	9783662494684

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