摘要
Abstract
With EMG model on 41×41 two-dimensional lattice, lattice point represents agent, ligature represents communication of two neighbouring agents, and each agent is assigned a gene strategy p value between 0 and 1 randomly. Numerical simulation shows that when prize-fine ratio of model is equal to or larger than 1, with proceeding of evolution, agents in system tend to imitate the strategy of agents who have extreme gene strategy(near 0 or 1), which shows extreme strategy performs better than hesitate strategy(near 0.5), and may brings more benefit to agents; when self-segregation phenomenon of agent strategy appears, crowd-anticrowd effect is more evident, the variance of the number of agents in one side reduces significantly, the system resource is utilized more efficiently. When the prize-fine ratio is less than 1, namely in difficult period, middle hesitate strategy performs better than the extreme strategy.关键词
EMG模型/二维网格/经纪人模仿/人群-反人群效应/自组织分离与聚合Key words
EMG model/Two-dimensional lattice/Agent imitation/Crowd-anticrowd effect/Self-segregation and clustering分类
数理科学
