Existence of evolutionarily stable strategies remains hard to decide for a wide range of payoff values

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Abstract

The concept of an evolutionarily stable strategy (ESS), intro-duced by Smith and Price [4], is a refinement of Nash equilibrium in 2-player symmetric games in order to explain counter-intuitive natural phenomena, whose existence is not guaranteed in every game. The prob-lem of deciding whether a game possesses an ESS has been shown to be Σ2P-complete by Conitzer [1] using the preceding important work by Etessami and Lochbihler [2]. The latter, among other results, proved that deciding the existence of ESS is both NP-hard and coNP-hard. In this paper we introduce a reduction robustness notion and we show that deciding the existence of an ESS remains coNP-hard for a wide range of games even if we arbitrarily perturb within some intervals the pay-off values of the game under consideration. In contrast, ESS exist almost surely for large games with random and independent payoffs chosen from the same distribution [11].

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APA

Melissourgos, T., & Spirakis, P. (2017). Existence of evolutionarily stable strategies remains hard to decide for a wide range of payoff values. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10236 LNCS, pp. 418–429). Springer Verlag. https://doi.org/10.1007/978-3-319-57586-5_35

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