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Scalable Verification of Strategy Logic through Three-Valued Abstraction

Contributo in Atti di convegno
Data di Pubblicazione:
2023
Citazione:
Scalable Verification of Strategy Logic through Three-Valued Abstraction / Belardinelli, Francesco; Ferrando, Angelo; Jamroga, Wojciech; Malvone, Vadim; Murano, Aniello. - In: IJCAI. - ISSN 1045-0823. - (2023), pp. 46-54. ( 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023 Macao, PRC AUG 19-25, 2023) [10.24963/ijcai.2023/6].
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.
Tipologia CRIS:
Relazione in Atti di Convegno
Elenco autori:
Belardinelli, Francesco; Ferrando, Angelo; Jamroga, Wojciech; Malvone, Vadim; Murano, Aniello
Autori di Ateneo:
FERRANDO Angelo
Link alla scheda completa:
https://iris.unimore.it/handle/11380/1331844
Link al Full Text:
https://iris.unimore.it//retrieve/handle/11380/1331844/747475/0006.pdf
Titolo del libro:
Proceedings of the Thirty-Second International Joint Conference onArtificial Intelligence, {IJCAI} 2023, 19th-25th August 2023, Macao,SAR, China
Pubblicato in:
IJCAI
Journal
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