Multi-agent simulation for the evolution of enterprise community in the network society based on Swarm and EGT

The purpose of this research is to address the evolution of enterprise communities in the network society. Based on evolutionary game theory (EGT) and complex adaptive system (CAS) theory, this paper built an evolutionary game model of enterprise communities, and realized the simulation by Swarm. The results show that the evolution of enterprise communities is a dynamic adaptive process. Under the assumption of limited rationality, the enterprise communities gradually find the optimal strategy through adaptive learning, and finally the evolution reaches an equilibrium stage.