摘要
通过仿真实验分析囚徒困境博弈在群聚性可变的无标度网络上的演化,进而考察无标度网络的群聚性对合作行为的影响.实验结果表明,无标度网络的群聚性对合作行为的影响依赖于度量个体博弈收益的效用函数.一方面,当效用函数考虑关系成本并以平均收益度量个体的博弈收益时,无标度网络的群聚性抑制合作行为.另一方面,当效用函数同时考虑关系成本和无标度网络中hub节点所具有的资源优势,并以平均收益和累积收益的加权平均度量个体的博弈收益时,随着累积收益权重的增大,无标度网络的群聚性对合作行为的影响逐渐由抑制作用转变为促进作用.
Using simulation experiments, this paper analyzes the evolution of the prisoner＇ s dilemma game on scale-free networks with tunable clustering, and examines the effect of clustering in scale-free networks on the cooperative behavior. The results show that the effect of clustering in scale-free network on cooperative behavior depends on the utility function which is used to measure the gains of individuals in the game. On the one hand, when the cost of links is considered in the utility function, the gains of individual can be calculated with average payoff. In this case, the clustering in scale-free networks has negative effect on the evolution of cooperative behavior. On the other hand, when the cost of links and resource advantage of hub nodes are considered at the same time in the utility function, the gains of individuals can be calculated with the weighted average of average payoff and accumulated payoff. In this case, the negative effect of clustering in scale-free networks on cooperative be- havior changes gradually into the positive one with the increase of the weight of accumulated payoff.
出处
《系统工程学报》
CSCD
北大核心
2010年第2期152-158,共7页
Journal of Systems Engineering
基金
国家自然科学基金资助项目(70571062)
关键词
无标度网络
群聚性
合作行为
效用函数
scale-free networks
clustering
cooperative behavior
utility function
作者简介
谢逢洁（1974-），女，重庆人，博士生，研究方向：复杂网络及合作行为演化，Email：fengjie_xie@stu．xjtu．edu．cn；
崔文田（1958-），男，陕西米脂人，博士，教授，研究方向：复杂网络、组合优化；
孙笑明（1982-），男，辽宁大连人，博士生，研究方向：复杂组织网络．
