Dynamic Evolution with Limited Learning Information on a Small-World Network

• 来源期刊: 理论物理通讯(英文版)
• 学科: 工学
• 关键词: 小世界网络 学习资料 动态演化 动态演变 网络信息 相互作用 随机选择 指数形式
• 年，卷（期）: 2010,（9）
• 所属期刊栏目: Interdisciplinary Physics and Related Areas of Sci
• 页码范围: 578-582
• 页数: 5页
• 分类号: TP271.8 TN915
• 语种: 英文

摘要

This paper investigates the dynamic evolution with limited learning information on a small-world network.In the system, the information among the interaction players is not very lucid, and the players are not allowed to inspectthe profit collected by its neighbors, thus the focal player cannot choose randomly a neighbor or the wealthiest one andcompare its payoff to copy its strategy.It is assumed that the information acquainted by the player declines in theform of the exponential with the geographical distance between the players, and a parameter V is introduced to denotethe inspect-ability about the players.It is found that under the hospitable conditions, cooperation increases with therandomness and is inhibited by the large connectivity for the prisoner's dilemma; however, cooperation is maximal atthe moderate rewiring probability and is chaos with the connectivity for the snowdrift game.For the two games, theacuminous sight is in favor of the cooperation under the hospitable conditions; whereas, the myopic eyes are advantageousto cooperation and cooperation increases with the randomness under the hostile condition.