Scalable Verification of Strategy Logic through Three-Valued Abstraction
Scalable Verification of Strategy Logic through Three-Valued Abstraction
Francesco Belardinelli, Angelo Ferrando, Wojciech Jamroga, Vadim Malvone, Aniello Murano
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence
Main Track. Pages 46-54.
https://doi.org/10.24963/ijcai.2023/6
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.
Keywords:
Agent-based and Multi-agent Systems: MAS: Formal verification, validation and synthesis
Knowledge Representation and Reasoning: KRR: Automated reasoning and theorem proving
Knowledge Representation and Reasoning: KRR: Qualitative, geometric, spatial, and temporal reasoning