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

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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.

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
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