Evolutionary Game Study on the Cooperative Behavior of Multi Agents in the World-Class Competitiveness Cluster
By constructing the evolutionary game model among enterprises,universities,research institutions and support institutions,the behavior strategies of multi-agent in the process of network cooperation in the world-class competitiveness cluster and the conditions of gradual stability are analyzed,and MATLAB is used to simulate the evolution process of multi-agent interaction behavior.The result shows that it is an evolutionary stability strategy that multi-party entities in the world-class competitiveness cluster cooperate with each other.That is,enterprises,universities,research institutions and supporting institutions interact and rely on each other to jointly promote the network construction and operation in the whole network operation of the world-class competitiveness cluster.Therefore,to cultivate and construct world-class competitive clusters,it is necessary to make overall planning,to improve the layout of infrastructure,and to give full play to the functions of cluster organization so that build a multi-party network collaborative operation pattern.
world-class competitiveness clusternetwork organizationcluster organizationcollaborationevolutionary game
NETL
NSTL
万方数据
