Learning to cooperate in a continuous tragedy of the commons

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

Volumn 2, Issue , 2009, Pages 1124-1125

  De Jong, Steven ^a   Tuyls, Karl ^b  

^a MAASTRICHT UNIVERSITY   (Netherlands)

^b EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Complex networks; Learning; Punishment; Tragedy of the commons

Indexed keywords

EID: 84899805769     PISSN: 15488403     EISSN: 15582914     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. S. de Jong and K. Tuyls. Learning to cooperate in public-goods interactions. 2008. Presented at the EUMAS'08 Workshop, Bath, UK, December 18-19.
2. S deJong, K Tuyls, and K Verbeeck. Artificial Agents Learning Human Fairness In Proceedings of the international joint conference on Autonomous Agents and Multi-Agent Systems (AAMAS'08), pages 863-870, 2008.
3. S. de Jong, K. Tuyls, and K. Verbeeck Fairness in multi-agent systems. Knowledge Engineering Review, 23(2): 153-180, 2008.
4. S de Jong, S Uyttendaele, and K Tuyls Learning to Reach Agreement in a Continuous Ultimatum Game Journal of Artificial Intelligence Research, 33:551-574, 2008.
5. E Fehr and K. Schmidt. A Theory of Fairness, Competition and Cooperation. Quart. J. of Economics, 114:817-868, 1999.
6. F C. Santos, J M. Pacheco, and T Lenaerts. Cooperation Prevails When Individuals Adjust Their Social Ties. PLoS Comput. Biol., 2(10): 1284-1291, 2006.
7. M. A. L. Thathachar and P. S. Sastry. Networks of Learning Automata: Techniques for Online Stochastic Optimization. Kluwer Academic Publishers, Dordrecht, the Netherlands, 2004.