Artificial Intelligence
Journal of Complexity
A linear-time transformation of linear inequalities into conjunctive normal form
Information Processing Letters
Chaff: engineering an efficient SAT solver
Proceedings of the 38th annual Design Automation Conference
Easy Cases of Probabilistic Satisfiability
Annals of Mathematics and Artificial Intelligence
Inference methods for a pseudo-boolean satisfiability solver
Eighteenth national conference on Artificial intelligence
The complexity of theorem-proving procedures
STOC '71 Proceedings of the third annual ACM symposium on Theory of computing
BerkMin: A Fast and Robust Sat-Solver
Proceedings of the conference on Design, automation and test in Europe
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This paper presents a study of the relationship between probabilistic reasoning and deductive reasoning, in propositional format. We propose an algorithm to solve probabilistic satisfiability (PSAT) based on the study of its logical properties. Each iteration of the algorithm generates in polynomial time a classical (non-probabilistic) formula that is submitted to a SAT-oracle. This strategy is a Turing reduction of PSAT into SAT. We demonstrate the correctness and termination of the algorithm.