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OverviewThis 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. Full Product DetailsAuthor: Jianye Hao , Ho-fung LeungPublisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K Edition: Softcover reprint of the original 1st ed. 2016 Weight: 3.276kg ISBN: 9783662570128ISBN 10: 3662570122 Pages: 178 Publication Date: 22 April 2018 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsIntroduction.- Background and Previous Work.- Fairness in Cooperative Multiagent Systems.- Social Optimality in Cooperative Multiagent Systems.- Individual Rationality in Competitive Multiagent Systems.- Social Optimality in Competitive Multiagent Systems.- Conclusion.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |