Analysis on the Route of an Enterprise's Innovation and Development Based on Multi-Agent Model

Abstract

This paper considers the route of an enterprise's innovation and development based on a multi-agents system model through revealing the driving force for the evolution of the industrial clusters under the dynamic development of the external environment and the internal innovation. As a result, the role of policy recommendations being very important are demonstrated for the regional industrial development. For the purpose of this, beginning with studying the evolution of industrial clusters, we first build a multi-agent system model and then give a learning algorithm by the genetic algorithm. In this process, industrial clusters being formed as a conceptual system first, then we correspond the system to a virtual multi-agent system By mapping the corresponding simulation results back to the conceptual system, the evolving rules of the industrial clusters are revealed thereafter. The results of this paper show that the evolution of industrial clusters comes from the complex interaction of inner agents by themselves. That means the leading actions of initiative enterprises are the fundamental factors in the process of evolution and thus an enterprise's development mainly addressed on it's inner technology innovations.