Research On Game Evolution Based On Multilayer And Heterogeneous Networks

Complex network provide the needed for the study of human society in the complex system based model for us.To explore the impact of different network structure on the behavior of the individual,we must introduced some behavior way,so that it can better simulate th human behavior.After previous large studies,game behavior is a good medium.Game behavior can be a very good simulation of realistic society competition.A large number of studies show that complex network game under different network configurations exhibit different morphologies,which proved that the different network structures will affect the individual's choice as well as a group of development.With the development of time,the game evolution under complex network has become one of the main research directions in the field of complex networks.The main content of this paper includes two aspects:1.By BA,ER,WS three network structure formed into heterogeneous networks,based on the prisoner's dilemma game model and using modeling method based on Multi-Agent,from the perspective of fair competition,comparison of different network evolution model and cooperative behavior is helpful to reveal the survival of the fittest in the evolution of complex networks.In the first place,through the comparison between the single network and the heterogeneous network,we find that the BA sub network is still in the dominant position in the process of evolution;Secondly,through the experiment that "group cooperation" to the outside world betrayed intrusion temptation below effect,and found that when external network behavior in the presence of a mixed strategy(network nodes exist cooperation strategy and betrayal strategy at the same time),the formation of "cheating" phenomenon,will lead to the collapse of "group cooperation" behavior;Finally,through of "group cooperation"generated and maintained in quantitative analysis,obtained "group cooperation" behavior in the conditions under which can produce,produce the behavior of "group cooperation",and under what conditions can be maintained,and to what critical situation,"group cooperation behavior will be destroyed..2.Combining the multilayer network structure and Multi-Agent modeling method,based on the field of social insurance policies and business knowledge,and summarizing social insurance payment behavior game model,simulate the operation process of the social insurance payment system.The main policy goal is how to control the behavior of enterprises reported low endowment insurance,by adjusting the parameters of the policy,to explore the sampling ratio,to report the effect of ratio,the level of rewards and punishments to the social insurance payment behavior.To put forward the case,we can get the relative optimal policy implementation results.This result is very important for the research of policy and the implementation of real policy.