An adaptive learning framework for efficient emergence of social norms

Authors

Chao Yu, University of WollongongFollow
Hongtao Lv, Dalian University of Technology
Sandip Sen, University of TulsaFollow
Jianye Hao, Tianjin UniversityFollow
Fenghui Ren, University of WollongongFollow
Rui Liu, Dalian University of Technology

RIS ID

112978

Publication Details

Yu, C., Lv, H., Sen, S., Hao, J., Ren, F. & Liu, R. (2016). An adaptive learning framework for efficient emergence of social norms. Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS (pp. 1307-1308). ACM Digital Library: ACM.

Abstract

Copyright 2016, International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.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.