Sequential Evolutionary Game Simulation Characterized by Learning and Emotion

摘要：

A novel model which introduces emotion character is proposed to simulate group game process more truly. According to different kinds of agents, this model builds individual learning mechanism and Strategy mutation mechanism based on emotion character. The Simulations show that the learning ability promotes individuals even cooperation rate of game and improves group total payoff. And, simulations also show that emotion factor would lead to dramatically fluctuation, whereas has little influences on group even total payoff.

关键词： emotion Sequential evolutionary game Learning mechanism simulation

作者: SHAO Zeng-zhen WANG Hong-guo LIU Hong

作者单位: Institute of Information Science and Engineering Shandong Normal University Jinan, China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Automation Engineering(ICCAE 2011)(2011年第三届IEEE计算机与自动化工程国际会议)

会议地点: 重庆

会议语种:英文

页码: 328-332

在线出版日期: 2011-01-21（万方平台首次上网日期，不代表论文的发表时间）