ATL with strategy contexts and bounded memory

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Abstract

We extend the alternating-time temporal logics ATL and ATL* with strategy contexts and memory constraints: the first extension makes strategy quantifiers to not "forget" the strategies being executed by the other players. The second extension allows strategy quantifiers to restrict to memoryless or bounded-memory strategies. We first consider expressiveness issues.We show that our logics can express important properties such as equilibria, and we formally compare them with other similar formalisms (ATL, ATL* , Game Logic, Strategy Logic, ⋯). We then address the problem of model-checking for our logics, especially we provide a PSPACE algorithm for the sublogics involving only memoryless strategies and an EXPSPACE algorithm for the bounded-memory case. © Springer-Verlag Berlin Heidelberg 2009.

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Brihaye, T., Da Costa, A., Laroussinie, F., & Markey, N. (2009). ATL with strategy contexts and bounded memory. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5407 LNCS, pp. 92–106). https://doi.org/10.1007/978-3-540-92687-0_7

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