An Adaptive Learning Framework for Efficient Emergence of Social Norms (Extended Abstract)

Chao Yu (Dalian University of Technology), Hongtao Lv (Dalian University of Technology), Sandip Sen (The University of Tulsa), Jianye Hao (Tianjin University), Fenghui Ren (University of Wollongong), Rui Liu (Dalian University of Technology)

Abstract

This paper investigates how norm emergence can be facilitated by agents' adaptive learning behaviors. A general learning framework is proposed, in which agents can dynamically adapt their learning behaviors through social learning of their individual learning experience. Experimental results indicate that the proposed framework outperforms the static learning framework in various comparison criteria.