Scalable Verification of Strategy Logic through Three-valued Abstraction
Belardinelli, Francesco, Ferrando, Angelo, Jamroga, Wojciech, Malvone, Vadim, Murano, Aniello
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Oct-26-2023
- Country:
- Europe (1.00)
- North America > United States
- California > San Francisco County > San Francisco (0.14)
- Genre:
- Research Report (0.40)
- Technology: