Adaptive Mechanism Based on Shared Learning in Multi-agent System

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 mechanis...

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Published inIntelligent Information Processing VII pp. 113 - 121
Main Authors Li, Qingshan, Chu, Hua, Diao, Liang, Wang, Lu
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2014
SeriesIFIP Advances in Information and Communication Technology
Subjects
adaptive mechanism
Multi-agent System
shared learning
system framework
Online AccessGet full text
ISBN9783662449790
366244979X
ISSN1868-4238
1611-3349
0302-9743
1868-422X
DOI10.1007/978-3-662-44980-6_13

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Abstract 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.
AbstractList 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.
Author Chu, Hua
Diao, Liang
Wang, Lu
Li, Qingshan
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SubjectTerms adaptive mechanism
Multi-agent System
shared learning
system framework
Title Adaptive Mechanism Based on Shared Learning in Multi-agent System
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