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论文类型：会议论文

发表时间：2016-08-22

收录刊物：EI、CPCI-S

卷号：9810

页面范围：805-818

关键字：Norm emergence; Learning; Multiagent systems

摘要：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.