基于EWA学习的共享资源捐赠习俗演化仿真研究  

Simulation Research for the Contribution Convention Evolutionary of Shared Resource Based on EWA Learning

作　　者：宋妍[1] 

机构地区：[1]中国矿业大学管理学院,江苏徐州221116

出　　处：《系统科学学报》2013年第4期78-81,共4页Chinese Journal of Systems Science

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)

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 evolu- tionary 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.

关 键 词：EWA学习 共享资源 捐赠策略 习俗演化 

分 类 号：N949[自然科学总论—系统科学]