Adaptive Mechanism Based on Shared Learning in Multi-agent System [chapter]

Qingshan Li, Hua Chu, Liang Diao, Lu Wang
2014 IFIP Advances in Information and Communication Technology  
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
more » ... xperiment and result analysis to verify the feasibility of the theory put forward by this article. By referencing FIPA specifications [4], we put forward the support framework of self-adaptive system for development and running as shown in figure 1. The entire frame consists of two core parts: supporting platform and development tools.
doi:10.1007/978-3-662-44980-6_13 fatcat:4db5luf3a5hm7p6gycg7di4tze