Adaptive Mechanism Based on Shared Learning in Multi-agent System

摘要：

　　In view of the deployment environment of the adaptive system is complex, dynamic, unpredictable, focusing on the construction of dynamic, uncertain environment adaptive system, and this paper combines the reinforcement learning technology and software agent technology to propose an adaptive mechanism based on shared learning in multiple agent system.Based on this, framework for constructing adaptive systems and shared learning algorithm of agent are given.Finally, by conducting a comparative experiment and result analysis to verify the feasibility of the theory put forward by this article.

关键词： adaptive mechanism shared learning Multi-agent System system framework

作者: Qingshan Li Hua Chu Liang Diao Lu Wang

作者单位: Software Engineering Institute, Xidian University, Xian 710071, China

会议类型: 国际会议

会议名称: 8th International Conference on Intelligent Information Processing(2014年IFIP智能信息处理国际会议)

会议地点: 杭州

会议语种:英文

页码: 113-121

在线出版日期: 2014-10-01（万方平台首次上网日期，不代表论文的发表时间）