Interactions in multiagent systems: Fairness, social optimality and individual rationality
Research book or monograph (author)


Times Cited
Altmetrics Information
.

Other information
AbstractThis 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.
All Author(s) ListHao J., Leung H.-F.
Detailed descriptionhttp://dx.doi.org/10.1007/978-3-662-49470-7
Year2016
Month1
Day1
Pages1 - 178
ISBN9783662494707
LanguagesEnglish-United Kingdom

Last updated on 2020-05-08 at 02:09