Research On Multi-agent Cooperation Innovation Mechanism In Enterprise Cluster Innovation Network

Under the economical environment of green New Deal and low-carbon, the problem of traditional disadvantages of the cluster and non-sustainable development is becoming increasingly apparent, the traditional cluster will soon be eliminated if it won’t innovate in accordance as soon as possiblewith the acquirement of green New Deal and low-carbon economy. As China entering the middle-income community, the expansion of the domestic market becomes the main driver of future economic growth, and it needs more and more local enterprises to create new product, new services and new business organization to service the market in China and suitable for China’s condition through innovation. However, in face of the complex domestic and international market competition, individual enterprises’innovation sometimes can not meet these challenges, so the enterprise in the industrial cluster now needs the various multi-faceted, multi-level cooperation with the actors in the industrial cluster network and other actors outside the industrial cluster network to share resource and learn from each other, so it can expand the space of industrial cluster innovation and get the complementary resource to improve the enterprises’ innovation ability in industrial cluster. Therefore, the innovation among enterprises in industrial cluster has evolved to the innovation in way of network.Since 80 years of the 20th century, people has attached great importance in the network formed by links among enterprises and individuals in the process of innovation, economics, sociology and other disciplines of Industrial Organization studied the innovation networks from a different perspective. Theorists’research perspective shifted to the innovation activities within the SME cluster from the scale effect of gathering with their depth research on the SME cluster. However, the existing literatures’reaserach on cooperation in cluster innovation network didn’t consider the impact of the structure features of the network on a series of acts in the process of cooperation, there are many social network analysis tools, including the use of graph theory to analyze the network topology, establishing strict models, the introduction of many mathematical tools, and combined with a simulation test, so it has expanded as a theoretical framework from a specific research method.Therefore, Multi-agents’ cooperation mechanism in cluster innovation network was studied in this article from the perspective of social networks, combining with the theory of evolutionary game theory, probability theory, system science and Opinion Dynamics, and the research content is as follows:(1) Multi-agents and their link model in cluster innovation network (including the core network, supporting network, external network) were analyzed and discussed the interaction mechanism among agents in the core network layer, between the agents in the core network layer and the agents in the supporting network layer, as well as between the core network layer and the external network layer were also discussed in this paper, and then we explained the cooperation dynamic factors among Multi-agents in the cluster innovation network from three aspects. In addition, an important feature of the cluster as club product is that it will have a network crowding effect when the number of enterprises in the cluster innovation network extended to certain degree, and the marginal benefit of cluster as public goods will show a decreasing trend as the entry of new firms outside the network, therefore, the determination of optimal boundary of the cluster innovation network were also studied in this paper.(2) On the basis of describing the structural features of enterprise cluster innovation network, we analysed behaviour decision-making model of agents in the innovation network, the impact function of the group(or community structure) on the agents in the innovation network, presented the structure model of adjusting agents’ behaviour in the innovation network under the effect of the groups(or community structure), introduced the positive weight index and the negative weight index to measure the influence degree of group(orcommunity structure) on the agents in the innovation network, and then we use Opinion dynamics of theoretical physics to analyse the cooperation emerging mechanism under the mutual influence of agents’ decision-making behaviour, including constructing the model and analysing the simulation results.(3) The differential game model of Multi-enterprises dynamic cooperation innovation in the cluster innovation network was established in this paper, given the two assumptions, we compared and analysed the optimal strategy adopted by enterprises in the cluster innovation network and the corresponding optimal value function in case of cooperation innovation and independent innovation from the perspective of agents’ reason combining the actual case:Firstly, the influence of enterprises’ investment strategy on the enterprises’ technology level; Secondly, the impact of change of enterprises’ technology level on the enterprises’ value function; Thirdly, the impact of enterprises’ investment value obtained on the company’s future investment strategy; research shows that companies participating in cooperation innovation can improve the technology level with less capital investment through using the resources cloud within the cluster innovation network, and the improvement of technology can create more value to the company, and this growth of the value had a positive impact on company’s future investment strategy, so it can prevent the decline of cluster effectively. At the same time, cooperation innovation performance is also analysed from the perspective of empirical in this paper.(4) the dynamic feature of trust mechanism of Multi-agent cooperation in the cluster innovation network was analysed by using state transition equation in probability theory, and the dynamic evolution characteristics of trust relationship among enterprises in the cluster innovation network was also analysed by using simulation tools, and we obtained four important conclusions which is consistent with the development of actual cluster. At the same time, we analysed the impact of the structural characteristics of the cluster innovation network on enterprises’ trust relationship state in the cluster innovation network through simulation:Firstly, the enterprises’ centrality in the innovation network(the enterprises’ impact); Secondly, the path length among enterprises in the innovation network (the geographical proximity); Thirdly, the connection strength among enterprises in the innovation network; Fourthly, the self-government degree of enterprises’ structure; and we also obtained four important conclusions which is consistent with the actual case, and we validated evolutionary model trust mechanism of Multi-agent cooperation in the cluster innovation network through an actual case.