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Computer Science > Computer Science and Game Theory

arXiv:1607.03354 (cs)
[Submitted on 12 Jul 2016]

Title:Extended Graded Modalities in Strategy Logic

Authors:Benjamin Aminof (Technische Universitat Wien, Austria), Vadim Malvone (Università degli Studi di Napoli Federico II, Italy), Aniello Murano (Università degli Studi di Napoli Federico II, Italy), Sasha Rubin (Università degli Studi di Napoli Federico II, Italy)
View a PDF of the paper titled Extended Graded Modalities in Strategy Logic, by Benjamin Aminof (Technische Universitat Wien and 7 other authors
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Abstract:Strategy Logic (SL) is a logical formalism for strategic reasoning in multi-agent systems. Its main feature is that it has variables for strategies that are associated to specific agents with a binding operator. We introduce Graded Strategy Logic (GradedSL), an extension of SL by graded quantifiers over tuples of strategy variables, i.e., "there exist at least g different tuples (x_1,...,x_n) of strategies" where g is a cardinal from the set N union {aleph_0, aleph_1, 2^aleph_0}. We prove that the model-checking problem of GradedSL is decidable. We then turn to the complexity of fragments of GradedSL. When the g's are restricted to finite cardinals, written GradedNSL, the complexity of model-checking is no harder than for SL, i.e., it is non-elementary in the quantifier rank. We illustrate our formalism by showing how to count the number of different strategy profiles that are Nash equilibria (NE), or subgame-perfect equilibria (SPE). By analyzing the structure of the specific formulas involved, we conclude that the important problems of checking for the existence of a unique NE or SPE can both be solved in 2ExpTime, which is not harder than merely checking for the existence of such equilibria.
Comments: In Proceedings SR 2016, arXiv:1607.02694
Subjects: Computer Science and Game Theory (cs.GT); Artificial Intelligence (cs.AI); Logic in Computer Science (cs.LO)
ACM classes: I.2.11
Cite as: arXiv:1607.03354 [cs.GT]
  (or arXiv:1607.03354v1 [cs.GT] for this version)
  https://doi.org/10.48550/arXiv.1607.03354
arXiv-issued DOI via DataCite
Journal reference: EPTCS 218, 2016, pp. 1-14
Related DOI: https://doi.org/10.4204/EPTCS.218.1
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From: EPTCS [view email] [via EPTCS proxy]
[v1] Tue, 12 Jul 2016 13:46:52 UTC (49 KB)
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