Adaptive Mechanism Based on Shared Learning in Multi-agent System

• Published in: Intelligent Information Processing VII pp. 113 - 121
• Main Authors: Li, Qingshan, Chu, Hua, Diao, Liang, Wang, Lu
• Format: Book Chapter
• Language: English
• Published: Berlin, Heidelberg Springer Berlin Heidelberg 2014
• Series: IFIP Advances in Information and Communication Technology
• Subjects: adaptive mechanism; Multi-agent System; shared learning; system framework
• ISBN: 9783662449790; 366244979X
• ISSN: 1868-4238; 1611-3349; 0302-9743; 1868-422X
• DOI: 10.1007/978-3-662-44980-6_13

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.