Interactions In Multiagent Systems: Fairness, Social Optimality And Individual Rationality by Jianye HaoInteractions In Multiagent Systems: Fairness, Social Optimality And Individual Rationality by Jianye Hao

Interactions In Multiagent Systems: Fairness, Social Optimality And Individual Rationality

byJianye Hao, Ho-fung Leung

Hardcover | April 25, 2016

Pricing and Purchase Info

$220.95

Earn 1,105 plum® points

Prices and offers may vary in store

Quantity:

In stock online

Ships free on orders over $25

Not available in stores

about

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.

Title:Interactions In Multiagent Systems: Fairness, Social Optimality And Individual RationalityFormat:HardcoverDimensions:178 pagesPublished:April 25, 2016Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:366249468X

ISBN - 13:9783662494684

Look for similar items by category:

Reviews

Table 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.