Hierarchical learning for emergence of social norms in networked multiagent systems

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 9457, Issue , 2015, Pages 630-643

  Yu, Chao ^a   Lv, Hongtao ^a   Ren, Fenghui ^b   Bao, Honglin ^a   Hao, Jianye ^c  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

^b UNIVERSITY OF WOLLONGONG   (Australia)

^c TIANJIN UNIVERSITY   (China)

Author keywords

Learning; Multiagent systems; Norm emergence

Indexed keywords

ARTIFICIAL INTELLIGENCE; HIERARCHICAL SYSTEMS; REINFORCEMENT LEARNING; SUPERVISORY PERSONNEL;

EFFECTIVE MECHANISMS; HIERARCHICAL LEARNING; LEARNING; LEARNING BEHAVIOR; LOCAL INTERACTIONS; NETWORKED MULTI-AGENT SYSTEMS; NORM EMERGENCE; REINFORCEMENT LEARNING METHOD;

MULTI AGENT SYSTEMS;

EID: 84952670165     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-26350-2_56     Document Type: Conference Paper

References (23)

1. Savarimuthu, B.T.R., Arulanandam, R., Purvis, M.: Aspects of active norm learning and the effect of lying on norm emergence in agent societies. In: Kinny, D., Hsu, J.Y., Governatori, G., Ghose, A.K. (eds.) PRIMA 2011. LNCS, vol. 7047, pp. 36–50. Springer, Heidelberg (2011)
2. Mukherjee, P., Sen, S., Airiau, S.: Norm emergence under constrained interactions in diverse societies. In: Proceedings of 7th AAMAS, pp. 779–786 (2008)
3. Hao, J., Sun, J., Huang, D., Cai, Y., Yu, C.: Heuristic collective learning for efficient and robust emergence of social norms. In: Proceedings of 14th AAMAS, pp. 1647–1648 (2015)
4. Yu, C., Zhang, M., Ren, F.: Collective learning for the emergence of social norms in networked multiagent systems. IEEE Trans. Cybernet. 44(12), 2342–2355 (2014)
5. Yu, C., Zhang, M., Ren, F., Luo, X.: Emergence of social norms through collective learning in networked agent societies. In: Proceedings of the 12th AAMAS, pp. 475–482 (2013)
6. Yu, C., Zhang, M., Ren, F., Hao, J.: Emergence of social norms through collective learning in networked agent societies. In: Proceedings of MFSC@AAMAS 2014 (2014)
7. Villatoro, D., Sabater-Mir, J., Sen, S.: Social instruments for robust convention emergence. In: Proceedings of 22nd IJCAI, pp. 420–425 (2011)
8. Shoham, Y., Tennenholtz, M.: On the emergence of social conventions: modeling, analysis, and simulations. Artif. Intell. 94(1), 139–166 (1997)
9. Young, H.P.: The economics of convention. J. Econ. Perspect. 10(2), 105–122 (1996)
10. Sen, S., Airiau, S.: Emergence of norms through social learning. In: Proceedings of the 20nd IJCAI, pp. 1507–1512 (2007)
11. Sen, O., Sen, S.: Effects of social network topology and options on norm emergence. In: Padget, J., Artikis, A., Vasconcelos, W., Stathis, K., da Silva, V.T., Matson, E., Polleres, A. (eds.) COIN@AAMAS 2009. LNCS, vol. 6069, pp. 211–222. Springer, Heidelberg (2010)
12. Sutton, R.S., Barto, A.G.: Reinforcement Learning: An introduction. MIT Press, Cambridge (1998)
13. Weibull, J.W.: Evolutionary Game Theory. MIT Press, Cambridge (1997)
14. Pacheco, J.M., Traulsen, A., Nowak, M.A.: Coevolution of strategy and structure in complex networks with dynamical linking. Phys. Rev. Lett. 97(25), 1–9 (2006)
15. Bowling, M., Veloso, M.: Multiagent learning using a variable learning rate. Artif. Intell. 136(2), 215–250 (2002)
16. Savarimuthu, B.: Norm Learning in Multi-agent Societies. University of Otago, Dunedin (2011)
17. Airiau, S., Sen, S., Villatoro, D.: Emergence of conventions through social learning. Auton. Agent. Multi-Agent Syst. 28(5), 779–804 (2014)
18. Villatoro, D., Sen, S., Sabater-Mir. J.: Topology and memory effect on convention emergence. In: Proceedings of the 2009 WI and IAT, pp. 233–240 (2009)
19. Villatoro, D., Sabater-Mir, J., Sen, S.: Robust convention emergence in social networks through self-reinforcing structures dissolution. ACM Trans. Auton. Adapt. Syst. 8(1), 2–21 (2013)
20. Mihaylov, M., Tuyls, K., Now, A.: A decentralized approach for convention emergence in multi-agent systems. Auton. Agent. Multi-Agent Syst. 15(2), 1–30 (2013)
21. Mahmoud, S., Griffiths, N., Keppens, J.: Norm emergence: overcoming hub effects in scale free networks. In: Proceedings of COIN, pp. 136–150 (2012)
22. Zhang, C., Sherief, A., Lesser, V.: Integrating organizational control into multiagent learning. In: Proceedings of the 7th AAMAS, pp. 757–764 (2009)
23. Bianchi, R.A.C., Ribeiro, C.H.C., Costa, A.H.R.: Heuristic selection of actions in multiagent reinforcement learning. In: Proceedings of 2007 IJCAI, pp. 690–695 (2007)