Abstract
We study concurrent games with finite-memory strategies where players are given a Büchi and a mean-payoff objective, which are related by a lexicographic order: a player first prefers to satisfy its Büchi 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.
Cite
CITATION STYLE
Gutierrez, J., Murano, A., Perelli, G., Rubin, S., & Wooldridge, M. (2017). Nash equilibria in concurrent games with lexicographic preferences. In IJCAI International Joint Conference on Artificial Intelligence (Vol. 0, pp. 1067–1073). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2017/148
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