Knowledge transfer simulation of cluster enterprise based on task requirements
面向任务需求的集群企业知识转移仿真*

The knowledge transfer is a complex evolutionary process. Currently the research of knowledge transfer focuses on theoretical analysis, the evolution process with modeling and simulation research is still rare. This paper proposed a multi-agent system knowledge transfer model considering the task requirements. This model introduced the reinforcement learning mechanism and learning object selection mechanism, and evaluated the knowledge transfer effect based on knowledge income degree. Simulations show that reinforcement learning and learning object selection mechanism can maximize the knowledge income of enterprise, an inverted U-shaped relationship exists between knowledge distance of enterprises and knowledge income.