Titlebook: Automated Deduction – CADE 27; 27th International C Pascal Fontaine Conference proceedings 2019 Springer Nature Switzerland AG 2019 artific

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SCL Clause Learning from Simple Models,cedures differ in their respective model representation formalisms. We introduce a new decision procedure SCL deciding the BS fragment. SCL stands for clause learning from simple models. Simple models are solely built on ground literals. Nevertheless, we show that SCL can learn exactly the clauses o

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Klimakterium nach gyn?kologischem Eingriff?re polymorphism. Further, we describe its implementation in the Vampire theorem prover, including a novel use of a substitution tree as a filtering index for higher-order unification. Finally, we analyse the performance of the algorithm on two benchmark sets and show that it is competitive.

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,Werkstoffe und Werkzeuge für den Modellbau,dataset of theorem proving problems and compared with the previous approaches. The resulting methods improve on the manually designed clause guidance, providing the first practically convincing application of gradient-boosted and neural clause guidance in saturation-style automated theorem provers.