The overall aim of our research is to develop techniques to reason about the equilibrium properties of multi-agent systems. We model multi-agent systems as concurrent games, in which each player is a process that is assumed to act independently and strategically in pursuit of personal preferences. In this article, we study these games in the context of finite-memory strategies, and we assume players’ preferences are defined by a qualitative and a quantitative objective, which are related by a lexicographic order: a player first prefers to satisfy its qualitative objective (given as a formula of linear temporal logic) and then prefers to minimise costs (given by a mean-payoff function). Our main result is that deciding the existence of a strict $$epsilon $$ϵ Nash equilibrium in such games is 2ExpTime-complete (and hence decidable), even if players’ deviations are implemented as infinite-memory strategies.
Equilibria for Games with Combined Qualitative and Quantitative Objects / Gutierrez, Juilan; Murano, Aniello; Perelli, Giuseppe; Rubin, Sasha; Steeples, Thomas; Wooldridge, Michael. - In: ACTA INFORMATICA. - ISSN 1432-0525. - 58:6(2021), pp. 585-610. [10.1007/s00236-020-00385-4]
Titolo: | Equilibria for Games with Combined Qualitative and Quantitative Objects | |
Autori: | ||
Data di pubblicazione: | 2021 | |
Rivista: | ||
Citazione: | Equilibria for Games with Combined Qualitative and Quantitative Objects / Gutierrez, Juilan; Murano, Aniello; Perelli, Giuseppe; Rubin, Sasha; Steeples, Thomas; Wooldridge, Michael. - In: ACTA INFORMATICA. - ISSN 1432-0525. - 58:6(2021), pp. 585-610. [10.1007/s00236-020-00385-4] | |
Handle: | http://hdl.handle.net/11573/1418258 | |
Appartiene alla tipologia: | 01a Articolo in rivista |
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