Incorporating Fairness into Infinitely Repeated Games with Conflicting Interests for Conflicts Elimination
Refereed conference paper presented and published in conference proceedings


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摘要In many multi-agent applications, game theory can serve as a useful tool to model these multi-agent scenarios and analyse the strategic interactions among agents. Fairness is an important goal to consider in a variety of multi-agent applications such as resource allocation or job scheduling problems, but it is not taken into consideration in traditional game theory. However, in many cases the solution concepts of pure strategy or mixed strategy Nash equilibria from traditional game theory can lead to unfair and inefficient outcomes. In this paper, we explicitly introduce the concept of fairness strategy in the context of infinitely repeated game inspired from fairness motive observed in human behaviors. We show that using fairness strategy, not only the agents can receive equal payoffs (achieving fairness) but also the sum of their payoffs is maximized (achieving efficiency) in the infinitely repeated games with conflicting interests. More importantly, we prove that this desirable pair of fairness strategies is in a new type of equilibrium - fairness strategy equilibrium, which thus provides an intuitive solution concept for the agents to make their decisions and coordinate with other agents or even humans.
著者Hao JY, Leung HF
會議名稱IEEE 24th International Conference on Tools with Artificial Intelligence (ICTAI)
會議開始日07.11.2012
會議完結日09.11.2012
會議地點Athens
會議國家/地區希臘
期刊名稱2011 23RD IEEE INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI 2011)
出版年份2012
月份1
日期1
出版社IEEE
頁次314 - 321
國際標準書號978-1-4799-0227-9
電子國際標準書號978-0-7695-4915-6
國際標準期刊號1082-3409
語言英式英語
Web of Science 學科類別Computer Science; Computer Science, Artificial Intelligence; Engineering; Engineering, Electrical & Electronic

上次更新時間 2020-24-10 於 02:19