基于EWA学习的共享资源捐赠习俗演化仿真研究
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  • 英文篇名:Simulation Research for the Contribution Convention Evolutionary of Shared Resource Based on EWA Learning
  • 作者:宋妍
  • 英文作者:SONG Yan;School of Management,China University of Mining & Technology;
  • 关键词:EWA学习 ; 共享资源 ; 捐赠策略 ; 习俗演化
  • 英文关键词:EWA learning;;Shared resource;;Contribution strategy;;Convention evolution
  • 中文刊名:XTBZ
  • 英文刊名:Chinese Journal of Systems Science
  • 机构:中国矿业大学管理学院;
  • 出版日期:2013-11-15
  • 出版单位:系统科学学报
  • 年:2013
  • 期:v.21;No.84
  • 基金:教育部人文社会科学研究一般项目(11YJC630181);; 中国博士后科学基金(20100471403);; 江苏省博士后科研资助项目(1001079C)
  • 语种:中文;
  • 页:XTBZ201304021
  • 页数:4
  • CN:04
  • ISSN:14-1333/N
  • 分类号:80-83
摘要
针对个体策略学习可能对共享资源捐赠习俗演化路径产生影响,提出用EWA学习模型刻画个体在现实场景下的策略调整过程,建立多个体EWA学习的演化博弈模型,并基于EWA学习给出算法流程,进行计算机仿真实验。仿真结果表明,在EWA学习支配下,随着迭代期次的增加,供给策略对个体的吸引度越来越大,个体的平均支付及联合支付也相对较高,能够克服共享资源供给上的囚徒困境,使共享资源捐赠习俗发育成为可能。
        Individual strategy learning and behavior modification may have influence on the evolutionary path of the contribution convention evolutionary of shared resource.The EWA learning model is used to character the process of individual strategy modification,and a multi-agent evolutionary game model is established.And then the learning algorithm is given based on EWA learning.The results of simulation experiments show that,under the control of EWA rule,as the increase of iterative times,the attractiveness of supply strategy and the average payoff of individual are getting higher.The prisoner's dilemma of shared resource supply will be overcomed and its contribution convention could be created.
引文
[1]Camerer C,Ho H.Experience-Weighted Attraction Learning in Normal Form Games[J].Econometrica,1999,67:837-874.
    [2]刘伟兵,王先甲.进化博弈中多代理人强化学习模型[J].系统工程理论与实践,2009,29(3):28-34.

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