1. Approximating Perfect Recall when Model Checking Strategic Abilities: Theory and Applications
- Author
-
Francesco Belardinelli, Alessio Lomuscio, Vadim Malvone, Emily Yu, Informatique, BioInformatique, Systèmes Complexes (IBISC), Université d'Évry-Val-d'Essonne (UEVE)-Université Paris-Saclay, Department of Computing [Imperial College London], Imperial College London, Institut Polytechnique de Paris (IP Paris), Département Informatique et Réseaux (INFRES), Télécom ParisTech, Autonomic and Critical Embedded Systems (ACES), Laboratoire Traitement et Communication de l'Information (LTCI), and Institut Mines-Télécom [Paris] (IMT)-Télécom Paris-Institut Mines-Télécom [Paris] (IMT)-Télécom Paris
- Subjects
[INFO.INFO-GT]Computer Science [cs]/Computer Science and Game Theory [cs.GT] ,[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA] ,Artificial Intelligence ,[INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO] ,[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] - Abstract
International audience; The model checking problem for multi-agent systems against specifications in the alternating-time temporal logic AT L, hence AT L∗ , under perfect recall and imperfect information is known to be undecidable. To tackle this problem, in this paper we investigate a notion of bounded recall under incomplete information. We present a novel three-valued semantics for AT L∗ in this setting and analyse the corresponding model checking problem. We show that the three-valued semantics here introduced is an approximation of the classic two-valued semantics, then give a sound, albeit partial, algorithm for model checking two-valued perfect recall via its approximation as three-valued bounded recall. Finally, we extend MCMAS, an open-source model checker for AT L and other agent specifications, to incorporate bounded recall; we illustrate its use and present experimental results.
- Published
- 2022
- Full Text
- View/download PDF