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2017 IJCAI IJCAI 2017

Nash Equilibria in Concurrent Games with Lexicographic Preferences

We study concurrent games with finite-memory strategies where players are given a Buchi and a mean-payoff objective, which are related by a lexicographic order: a player first prefers to satisfy its Buchi objective, and then prefers to minimise costs, which are given by a mean-payoff function. In particular, we show that deciding the existence of a strict Nash equilibrium in such games is decidable, even if players' deviations are implemented as infinite memory strategies.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Mathematics & Optimization

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