Overview
- state-of-the-art materials on achieving fairness, social optimality and
- individual rationality in multi-agent systems
- Classifies cooperative and competitive multi-agent systems
- Focuses on a wide variety of multi-agent interaction scenarios represented by different game-theoretic frameworks
- Includes supplementary material: sn.pub/extras
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Table of contents (7 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Interactions in Multiagent Systems: Fairness, Social Optimality and Individual Rationality
Authors: Jianye Hao, Ho-fung Leung
DOI: https://doi.org/10.1007/978-3-662-49470-7
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Higher Education Press, Beijing and Springer-Verlag Berlin Heidelberg 2016
Hardcover ISBN: 978-3-662-49468-4Published: 25 April 2016
Softcover ISBN: 978-3-662-57012-8Published: 22 April 2018
eBook ISBN: 978-3-662-49470-7Published: 13 April 2016
Edition Number: 1
Number of Pages: IX, 178
Number of Illustrations: 111 b/w illustrations, 11 illustrations in colour
Additional Information: Jointly published with Higher Education Press, Beijing, China
Topics: Computational Intelligence, Artificial Intelligence, Game Theory, Economics, Social and Behav. Sciences, e-Commerce/e-business