Interactions in Multiagent Systems: Fairness, Social Optimality and Individual Rationality

Thisbook mainly aims at solving the problems in both cooperative and competitivemulti-agent systems (MASs), exploring aspects such as how agents caneffectively learn to achieve the shared optimal solution based on their localinformation and how they can learn to increase their individual utility byexploiting the weakness of their opponents. The book describes fundamental andadvanced techniques of how multi-agent systems can be engineered towards thegoal of ensuring fairness, social optimality, and individual rationality; awide range of further relevant topics are also covered both theoretically andexperimentally. The book will be beneficial to researchers in the fields ofmulti-agent systems, game theory and artificial intelligence in general, as wellas practitioners developing practical multi-agent systems.

List of contents

Introduction.- 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.

Product details

• Authors: Jiany Hao, Jianye Hao, Ho-Fung Leung
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 01.01.2018
• EAN: 9783662570128
• ISBN: 978-3-662-57012-8
• No. of pages: 178
• Dimensions: 155 mm x 8 mm x 235 mm
• Weight: 329 g
• Illustrations: IX, 178 p. 122 illus., 11 illus. in color.
• Subjects: Natural sciences, medicine, IT, technology > Technology > General, dictionaries; E-Commerce, B, Artificial Intelligence, engineering, E-commerce: business aspects, e-Commerce/e-business, e-Commerce and e-Business, Game Theory, Economics, Social and Behav. Sciences, Philosophy of Mathematics, game theory, E-Commerce: geschäftliche Aspekte, Computational Intelligence, Business applications