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Chinese Journal of Management Science ›› 2024, Vol. 32 ›› Issue (4): 66-75.doi: 10.16381/j.cnki.issn1003-207x.2021.0257

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Evolutionary Game Study on the Cooperative Behavior of Multi Agents in the World-Class Competitiveness Cluster

Pei Zhang1,Bing Bai2(),Ziwei Zhao3   

  1. 1.China Academy of Civil Aviation Science and Technology, Beijing 100028, China
    2.Zhejiang Development & Planning Institute, Hangzhou 310030, China
    3.Songshan Lake Materials Laboratory, Dongguan 523000, China
  • Received:2021-02-04 Revised:2021-07-13 Online:2024-04-25 Published:2024-04-25
  • Contact: Bing Bai E-mail:bingbai_betty@163.com

Abstract:

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.

Key words: world-class competitiveness cluster, network organization, cluster organization, collaboration, evolutionary game

CLC Number: