【摘要】 在经济社会动态复杂系统中,人们的博弈行为受所处的地区、语言、文化、职业及其他很多局部因素的影响.局部影响因素快速变化、交互关系复杂使得采用现有的博弈论方法来分析局部交互博弈变得较为困难.本文提出局部交互博弈的Agent仿真模型来解决上述问题,其中个体的博弈学习被用来解决个体的行为选择问题,而涌现变量则被用来解释系统整体表现出来的现象.最后,本文基于提出的仿真模型进行了协调博弈的“局部遵同效应”和“随机冲击”两个实验来检验仿真模型的有效性.更多还原

【Abstract】 In the dynamic and complex system of an economic society,people’s gaming behaviors are affected by many local factors including locations,language,culture and careers.These factors rapidly change,and complicatedly interact with others and make it difficult to analyze local interactive games involving many individuals.An agent-based simulation model for local interactive games is proposed in this paper,where individual learning abilities in games are used to solve problems of individual behavior selection,and emergence variants are used to explain the phenomena showing in the whole system.In the end,two experiments are conducted to verify the proposed model through “local conformity effect” and “stochastic shock” of coordination games.更多还原