The model checking problem for multi-agent systems against Strategy Logic specifications is known to be non-elementary. On this logic several fragments have been defined to tackle this issue but at the expense of expressiveness. In this paper, we propose a three-valued semantics for Strategy Logic upon which we define an abstraction method. We show that the latter semantics is an approximation of the classic two-valued one for Strategy Logic. Furthermore, we extend MCMAS, an open-source model checker for multi-agent specifications, to incorporate our abstraction method and present some promising experimental results.

Scalable Verification of Strategy Logic through Three-valued Abstraction / Belardinelli, F.; Ferrando, A.; Jamroga, W.; Malvone, V.; Murano, A.. - 2023-:(2023), pp. 46-54. [10.24963/ijcai.2023/6]

Scalable Verification of Strategy Logic through Three-valued Abstraction

Jamroga W.
Membro del Collaboration Group
;
Malvone V.
Membro del Collaboration Group
;
Murano A.
Supervision
2023

Abstract

The model checking problem for multi-agent systems against Strategy Logic specifications is known to be non-elementary. On this logic several fragments have been defined to tackle this issue but at the expense of expressiveness. In this paper, we propose a three-valued semantics for Strategy Logic upon which we define an abstraction method. We show that the latter semantics is an approximation of the classic two-valued one for Strategy Logic. Furthermore, we extend MCMAS, an open-source model checker for multi-agent specifications, to incorporate our abstraction method and present some promising experimental results.
2023
Scalable Verification of Strategy Logic through Three-valued Abstraction / Belardinelli, F.; Ferrando, A.; Jamroga, W.; Malvone, V.; Murano, A.. - 2023-:(2023), pp. 46-54. [10.24963/ijcai.2023/6]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/993443
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