%0 Journal Article
%T Knowledge transfer simulation of cluster enterprise based on task requirements<br>面向任务需求的集群企业知识转移仿真*
%A SUN Xin-qiu
%A WANG Hong-guo
%A SHAO Zeng-zhen
%A ZHAO Xue-chen
%A <br>孙新秋
%A 王洪国
%A 邵增珍
%A 赵学臣
%J 计算机应用研究
%D 2011
%I 
%X 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.
%K knowledge transfer
%K reinforcement learning
%K multi-agent
%K knowledge income
%K simulation<br>知识转移
%K 强化学习
%K 多主体
%K 知识收益
%K 仿真
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=1F8EB868F38CE0726B638B5DFA126D46&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=F3090AE9B60B7ED1&sid=819DF80B5F0329DF&eid=8755E35A6AABC3C4&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=13