Using SMT for solving fragments of parameterised boolean equation systems

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Abstract

Fixpoint logics such as parameterised Boolean equation systems (PBESs) provide a unifying framework in which a number of practical decision problems can be encoded. Efficient evaluation methods (solving methods in the terminology of PBESs) are needed to solve the encoded decision problems. We present a sound pseudo-decision procedure that uses SMT solvers for solving conjunctive and disjunctive PBESs. These are important fragments, allowing to encode typical verification problems and planning problems. Our experiments, conducted with a prototype implementation, show that the new solving procedure is complementary to existing techniques for solving PBESs.

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APA

Koolen, R. P. J., Willemse, T. A. C., & Zantema, H. (2015). Using SMT for solving fragments of parameterised boolean equation systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9364, pp. 14–30). Springer Verlag. https://doi.org/10.1007/978-3-319-24953-7_3

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