Solving the Satisfiability Problem of Modal Logic S5 Guided by Graph Coloring
Solving the Satisfiability Problem of Modal Logic S5 Guided by Graph Coloring
Pei Huang, Minghao Liu, Ping Wang, Wenhui Zhang, Feifei Ma, Jian Zhang
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence
Main track. Pages 1093-1100.
https://doi.org/10.24963/ijcai.2019/153
Modal logic S5 has found various applications in artificial intelligence. With the advances in modern SAT solvers, SAT-based approach has shown great potential in solving the satisfiability problem of S5. The scale of the SAT encoding for S5 is strongly influenced by the upper bound on the number of possible worlds. In this paper, we present a novel SAT-based approach for S5 satisfiability problem. We show a normal form for S5 formulas. Based on this normal form, a conflict graph can be derived whose chromatic number provides an upper bound of the possible worlds and a lot of unnecessary search spaces can be eliminated in this process. A heuristic graph coloring algorithm is adopted to balance the efficiency and optimality. The number of possible worlds can be significantly reduced for many practical instances. Extensive experiments demonstrate that our approach outperforms state-of-the-art S5-SAT solvers.
Keywords:
Constraints and SAT: Constraint Satisfaction
Knowledge Representation and Reasoning: Automated Reasoning and Theorem Proving