网络演化博弈中的自组织临界性

结合雪堆博弈模型与扩展的Bak-Sneppen(BS)模型,研究一维规则环状网络上合作行为的涌现与个体间的动力学关联性。通过统计系统平均合作概率随时间的演化,发现当系统演化到稳态时群体具有较高的合作水平。此外,统计了个体策略突变行为的雪崩尺寸及适应度最低个体间的距离分布,发现这两种分布可近似为幂律分布。这表明系统自组织达到了一种临界状态,在临界状态个体策略在系统尺度上相互关联,因此与系统中高水平合作行为的涌现有着紧密的关系。

Self-organized Criticality in Spatial Evolutionary Games

We study the emergence of cooperation with self-organized criticality on a one-dimensional lattice by connecting Snowdrift Game and Bak-Sneppen (BS) model.We first calculate the mean cooperation probability of the system by Monte-Carlo simulation and the results show that there is a high level cooperation in the steady state,which is possible because the BS mechanism builds dynamical correlation between the least fit sites.Besides, we also measure the distribution of avalanche size and the distance between successive minimum fitness sites, which are well fit by a power law approximately.The power law distribution we measured shows that the system has reached a critical state.In the critical state the agents are correlated at all scales which closely connected with the high level cooperation in the system.