计算机科学 ›› 2011, Vol. 38 ›› Issue (8): 197-200.

• 人工智能 • 上一篇    下一篇

具有学习机制及情绪特征的连续进化博弈仿真

邵增珍,王洪国,刘弘,成照乾,尹会娟   

  1. (山东师范大学信息科学与工程学院 济南250014);(山东省分布式计算机软件新技术重点实验室 济南250014);(山东师范大学管理与经济学院济南250014)
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受国家自然科学基金(60970004),山东省科技攻关计划项目( 2009GG10001008),济南市高校院所自主创新项目(200906001)山东省软科学研究计划项目(2009RKA285)资助。

Sequential Evolutionary Game Simulation Characterized by Learning and Emotion

SHAO Zeng-zhen,WANG Hong-guo,LIU Hong,CHENG Zhao-qianu,YIN Hui-juan   

  • Online:2018-11-16 Published:2018-11-16

摘要: 当前博弈理论的研究主要集中在合作竞争及稳定性的分析上,有关心理因素对博弈过程的影响的研究尚不多见。将情绪特征引入连续进化博弈过程,可更为真实地仿真群体博弈过程。针对不同决策风格的个体,建立个体学习机制及根据情绪特征的策略变异机制。仿真结果表明,学习能力有助于个体之间的博弈平均合作率及群体收益总量的提高;情绪对个体收益产生一定的波动性影响,但对群体平均收益的波动性影响不大。

关键词: 情绪,连续进化博弈,学习机制,仿真

Abstract: Currently the research of game theory focuses on cooperation, competiton and stability analysis, the impact of psychological factors on game research is still rare. A novel model was proposed in this paper to simulate group game process more truly which introduces emotion character. According to different kind of agent, this model builds individual learning mechanism and strategy mutation mechanism based on emotion character. Simulations show that the ability of learning promotes individual' s even cooperation rate of game and improves group total payoff. And, simulations also show that emotion factor would lead to fluctuation more dramatically whereas little influences to group even total payoff.

Key words: Emotion,Scqucntial evolutionary gamc,I_carning mcchanism,Simulation

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