Simulation Study on the Core-structure Industrial Cluster Innovation Network: Relationship between Structure and Performance

Taken complex adapti ve systems (CAS) theory into cluster innovation research, this investigation focuses on the agents of cluster innovation network. And it uses network structure variables and innovation agents’ behavior to study the relationship between cluster innovation network structure and innovation capability based on CAS’s echo model and the reverse simulation method. After summarize the CAS simulation research framework and process, this investigation builds cluster innovation network structure influencing innovation capability model by analyzing the interaction between environment, agents, resource and knowledge. Through CAS multi-agent simulation method combining with the case of Zhongguancun cluster innovation network, the results show that innovation agents in order to adapt environment to adjust their behavior constantly, generate interaction, and change innovative mechanisms, that influences cluster innovation network innovation capability. Moreover, under some structural qualification, innovation capability could be enhanced with the cluster innovation network structure’s variables of mean minimal path lengthdecreasing, aggregation coefficientincreasingand degree distribution increasing. KeywordsComplex Adaptive System; Cluster Innovation Network; Innovation Capability; Multi-Agent Simulation