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Issue No.03 - May-June (2012 vol.27)
pp: 86-90
Georgios Chalkiadakis , Technical University of Crete
Edith Elkind , Nanyang Technological University
Michael Wooldridge , University of Oxford
ABSTRACT
Cooperative game theory studies situations in which agents can benefit by working together. This article outlines the key concepts of cooperative game theory, and discusess the challenges that arise in applying these in AI applications.
INDEX TERMS
cooperative game theory, core, Shapley value, complexity
CITATION
Georgios Chalkiadakis, Edith Elkind, Michael Wooldridge, "Cooperative Game Theory: Basic Concepts and Computational Challenges", IEEE Intelligent Systems, vol.27, no. 3, pp. 86-90, May-June 2012, doi:10.1109/MIS.2012.47
REFERENCES
1. X. Deng and C. Papadimitriou, “On the Complexity of Cooperative Solution Concepts,” Mathematics of Operations Research, vol. 19, no. 2, 1994, pp. 257–266.
2. S. Ieong and Y. Shoham, “Marginal Contribution Nets: A Compact Representation Scheme for Coalitional Games,” Proc. 6th ACM Conf. Electronic Commerce (ACM-EC 05), ACM, 2005, pp. 193–202.
3. E. Elkind et al., “On the Computational Complexity of Weighted Voting Games,” Annals Mathematics and Artificial Intelligence, vol. 56, no. 2, 2009, pp. 109–131.
4. M. Osborne and A. Rubinstein, A Course in Game Theory, MIT Press, 1994.
5. G. Chalkiadakis, E. Elkind, and M. Wooldridge, Computational Aspects of Cooperative Game Theory, Morgan & Claypool, 2011.
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