Abstract
The problem of equilibria detection in many-player games is computationally untractable by standard techniques. Generative relations represent an useful tool for equilibria characterization and evolutionary equilibria detection. The generative relation for k-Berge-Zhukovskii equilibrium is introduced. An evolutionary technique based on differential evolution capable to cope with hundred players is proposed. Experimental results performed on a multi-player version of Prisoner’s Dilemma indicate the effectiveness of the approach.
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Gaskó, N., Dumitrescu, D., Lung, R.I. (2011). Evolutionary Detection of Berge and Nash Equilibria. In: Pelta, D.A., Krasnogor, N., Dumitrescu, D., Chira, C., Lung, R. (eds) Nature Inspired Cooperative Strategies for Optimization (NICSO 2011). Studies in Computational Intelligence, vol 387. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24094-2_10
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DOI: https://doi.org/10.1007/978-3-642-24094-2_10
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