%0 Journal Article
%T Evolutionary Games and Self-Organizing Cooperation<br>演化博弈与自组织合作
%A Wang Long
%A Fu Feng
%A Chen Xiaojie
%A Chu Tianguang
%A Xie Guangming
%A <br>王龙
%A 伏锋
%A 陈小杰
%A 楚天广
%A 谢广明
%J 系统科学与数学
%D 2007
%I 
%X Evolutionary games on complex networks are considered in this paper. First, the evolutionary Prisoner's dilemma game on scale-free networks with community structures is investigated. Then the heterogeneity's role in the evolution of cooperation on a variant of Newman-Watts small-world networks is explored. The influence of different initial conditions on the evolution of cooperation corresponding to different initial configurations for cooperators and defectors distributing among the vertices of networks is also studied. Moreover, Snowdrift game on an empirical social network is considered, and the entangled dynamics of the evolution of network structure and strategy is investigated. The reinforcement learning dynamics in networked populations playing Prisoner's dilemma is also explored. Finally, some open problems, future research directions, and possible application areas of evolutionary games on complex networks are presented.
%K Collective behaviors
%K cooperation
%K evolutionary games
%K complex networks
%K Prisoner's dilemma
%K Snowdrift game
%K reinforcement learning
%K self-organization
%K topology
%K dynamics<br>群体行为
%K 合作
%K 演化博弈论
%K 复杂网络
%K 囚徒困境博弈
%K 雪堆博弈
%K 强化学习
%K 自组织
%K 拓扑
%K 动力学
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=37F46C35E03B4B86&jid=0CD45CC5E994895A7F41A783D4235EC2&aid=8BCAD72B4847B104&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=38B194292C032A66&sid=6C069F4B248105A5&eid=5957D6E0A50D26B5&journal_id=1000-0577&journal_name=系统科学与数学&referenced_num=0&reference_num=32