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Indexed by:会议论文

Date of Publication:2016-08-22

Included Journals:EI、CPCI-S

Volume:9810

Page Number:805-818

Key Words:Norm emergence; Learning; Multiagent systems

Abstract:This paper investigates how norm emergence can be facilitated by agents' adaptive learning behaviors in networked multiagent systems. A general learning framework is proposed, in which agents can dynamically adapt their learning behaviors through social learning of their individual learning experience. Extensive verification of the proposed framework is conducted in a variety of situations, using comprehensive evaluation criteria of efficiency, effectiveness and efficacy. Experimental results show that the adaptive learning framework is robust and efficient for evolving stable norms among agents.