2023
DOI: 10.1016/j.artint.2022.103847
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An abstraction-refinement framework for verifying strategic properties in multi-agent systems with imperfect information

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Cited by 10 publications
(6 citation statements)
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References 29 publications
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“…The latter apply "automatic" abstraction and refinement methods to address state-explosion in the verification of system specifications. Such techniques have also been proposed for concurrent game structures and strategy logics, e.g., (Belardinelli, Ferrando, and Malvone 2023). The abstractions that these methods generate need not be meaningful to users of the system.…”
Section: Discussionmentioning
confidence: 99%
“…The latter apply "automatic" abstraction and refinement methods to address state-explosion in the verification of system specifications. Such techniques have also been proposed for concurrent game structures and strategy logics, e.g., (Belardinelli, Ferrando, and Malvone 2023). The abstractions that these methods generate need not be meaningful to users of the system.…”
Section: Discussionmentioning
confidence: 99%
“…the memoryfull and perfect information case, and again undecidable in the memoryfull and imperfect information case. To address the latter problem, some works have either focused on an approximation to perfect information [3], developed notions of bounded memory [6], or employed hybrid techniques [14,15]. Despite its expressiveness, ATL * suffers from the strong limitation that strategies are treated only implicitly in the semantics of strategic operators.…”
Section: Model Checking Complexitiesmentioning
confidence: 99%
“…As discussed earlier in the paper, some approaches try to make some MAS with imperfect information decidable. However, the authors in [5,3,16] do not give a specific class of MAS with imperfect information that is decidable. Currently, only the class of hierarchical information has been proposed [25,24] and analyzed in SL [7].…”
Section: Future Directionsmentioning
confidence: 99%
“…Indeed, our tool can be used in several works, such as [20,16,24,25], to provide results for the verification of three-valued LT L formulas. Furthermore, our tool is already used in [6]. In this work, the authors present an abstraction-refinement method to partially solve the model checking of multi-agent systems under imperfect information and perfect recall strategies.…”
Section: Introductionmentioning
confidence: 99%