An adaptive learning framework for efficient emergence of social norms

Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS

Volumn , Issue , 2016, Pages 1307-1308

  Yu, Chao ^a   Lv, Hongtao ^a   Sen, Sandip ^b   Hao, Jianye ^c   Ren, Fenghui ^d   Liu, Rui ^a  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

^b UNIVERSITY OF TULSA   (United States)

^c TIANJIN UNIVERSITY   (China)

^d UNIVERSITY OF WOLLONGONG   (Australia)

Author keywords

Norm emergence; Reinforcement learning; Social networks

Indexed keywords

MULTI AGENT SYSTEMS; REINFORCEMENT LEARNING; SOCIAL NETWORKING (ONLINE);

ADAPTIVE LEARNING; COMPARISON CRITERION; GENERAL LEARNING; INDIVIDUAL LEARNING; LEARNING BEHAVIOR; NORM EMERGENCE; SOCIAL LEARNING; STATIC LEARNING;

AUTONOMOUS AGENTS;

EID: 85014302063     PISSN: 15488403     EISSN: 15582914     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

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2. D. Villatoro, J. Sabater-Mir, and S. Sen. Social instruments for robust convention emergence. In Proc. of 22nd IJCAI, pages 420-425, 2011.
3. C. Yu, M. Zhang, F. Ren, and X. Luo. Emergence of social norms through collective learning in networked agent societies. In Proc. of AAMAS2013, pages 475-482, 2013.
4. C. Yu, M. Zhang, and F. Ren. Collective learning for the emergence of social norms in networked multiagent systems. IEEE Transactions on Cybernetics, 44(12):2342-2355, 2014.
5. M. Bowling and M. Veloso. Multiagent learning using a variable learning rate. Artificial Intelligence, 136:215-250, 2002.