Interactions in Multiagent Systems: Fairness, Social Optimality and Individual Rationality
Interactions in Multiagent Systems: Fairness, Social Optimality and Individual Rationality
复制标题
多主体系统中的交互：公平、社会最优性和个体理性
DOI：
10.1007/978-3-662-49470-7
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
Ho
中科院分区：
文献类型：
--
作者：
Jianye Hao;Ho
这本书主要旨在解决合作和竞争多智能体系统（MAS）中的问题，探索诸如智能体如何有效地学习以实现基于其本地信息的共享最优解以及如何通过利用对手的弱点来提高其个体效用等方面。这本书描述了多智能体系统如何被设计成确保公平，社会最优和个人理性的目标的基本和先进技术;理论和实验也涵盖了广泛的进一步相关主题。这本书将有利于研究人员在多智能体系统，博弈论和人工智能领域的一般，以及从业者开发实用的多智能体系统。
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.