Unification with abstraction and theory instantiation in saturation-based reasoning

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Abstract

We make a new contribution to the field by providing a new method of using SMT solvers in saturation-based reasoning. We do this by introducing two new inference rules for reasoning with non-ground clauses. The first rule utilises theory constraint solving (an SMT solver) to perform reasoning within a clause to find an instance where we can remove one or more theory literals. This utilises the power of SMT solvers for theory reasoning with non-ground clauses, reasoning which is currently achieved by the addition of often prolific theory axioms. The second rule is unification with abstraction where the notion of unification is extended to introduce constraints where theory terms may not otherwise unify. This abstraction is performed lazily, as needed, to allow the superposition theorem prover to make as much progress as possible without the search space growing too quickly. Additionally, the first rule can be used to discharge the constraints introduced by the second. These rules were implemented within the Vampire theorem prover and experimental results show that they are useful for solving a considerable number of previously unsolved problems. The current implementation focuses on complete theories, in particular various versions of arithmetic.

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APA

Reger, G., Suda, M., & Voronkov, A. (2018). Unification with abstraction and theory instantiation in saturation-based reasoning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10805 LNCS, pp. 3–22). Springer Verlag. https://doi.org/10.1007/978-3-319-89960-2_1

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