This talk overviews recent progress in automating inductive reasoning in quantified logic, with applications to code synthesis, and shows that induction and synthesis are better together in saturation, allowing not only to prove quantified properties F, but also generate a functional implementation of F during proof search 1.
A tailored integration of SAT solving for detecting variants of subsumption in superposition using the Vampire prover and showing that SAT encodings improve literal matching, and thus subsumption, in first-order theorem proving is presented.
Laura Kovács, Tu Wien, Austria et al.· 0 citations
This paper introduces a proof term calculus with dedicated features for bounds, for which an elaborator can automatically infer bound-related manipulations, improving usability and reducing user inputs, and theoretically argues for its usability through an erasability theorem.
A new proof system for MaxSAT is described, the Comparator Calculus, which models the inferential strategies used in core-guided MaxSAT solvers and two new MaxSAT algorithms are introduced: a core-guided one (CSimple) and one non-core-guided (CSat), which uses heuristics to construct new soft formulas and calls a SAT s...
Ilario Bonacina, J. Levy, Ion Mikel Liberal· International Conference on...· 0 citations
This work proposes a proof calculus that captures the decision procedure for finite field reasoning employed by the SMT solver CVC 5 and instrumenting the solver to generate proofs within this calculus, and introduces an extension of the Practical Algebraic Calculus that mirrors the proposed system.
Pedro Saccomani, Abdalrhman Mohamed, Elizaveta Pertseva et al.· 0 citations
Solving Boolean polynomial systems, or equivalently, SAT-solving, based on the XNF and the XLIN proof system outperforms classical methods not only theoretically, but based on the new conflict-driven XNF clause learning methods developed here, it is possible to implement an XNF solver with good practical efficiency.
Julian Danner, Martin Kreuzer· Journal of Artificial Intell...· 0 citations
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