文章基本信息

标题：A Modeling of Game Learning Theory Based on Fairness
本地全文：下载
作者：Qingquan He ; Yulei Rao ; Jie Xu 等
期刊名称：International Journal of Business and Management
印刷版ISSN：1833-3850
电子版ISSN：1833-8119
出版年度：2010
卷号：5
期号：2
页码：178
DOI：10.5539/ijbm.v5n2p178
出版社：Canadian Center of Science and Education
摘要：By incorporating fairness factor in the EWA (experience-weighted attraction) learning model, we develop an extended game learning model called FGL model. We use psychological effect in stead of material effect to modify strategy’s payoff and attraction, and to study the equilibrium movement further in dynamic Games. That participants have fair thinking will, in turn, lead to their psychological function changes. Compared with EWA learning model by simulating the decision-making in Ultimatum Game, we find FGL model converges to equilibrium strategy faster.