Peter Baumgartner and Uwe Waldmann.
Hierarchic superposition with weak abstraction and the Beagle theorem prover.
In Nikolaj Bjorner, Reiner Hähnle, Tobias Nipkow, and Christoph Weidenbach, editors, Deduction and Arithmetic (Dagstuhl Seminar 13411), volume 3, Dagstuhl, Germany, 2014. Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik. [ bib | DOI | http ]
Many applications of automated deduction require reasoning in first-order logic modulo background theories, in particular some form of integer arithmetic. A major unsolved research challenge is to design theorem provers that are "reasonably complete" even in the presence of free function symbols ranging into a background theory sort. The earlier hierarchic superposition calculus of Bachmair, Ganzinger, and Waldmann already supports such symbols, but, not optimally. We have devised a new calculus, hierarchic superposition with weak abstraction, which rectifies this situation by introducing a novel form of clause abstraction, a core component in the hierarchic superposition calculus for transforming clauses into a form needed for internal operation. Additionally, it includes a definition rule that is generally useful to find refutations more often, and, specifically, gives completeness for the clause logic fragment where all background-sorted terms are ground. The talk provides an overview of the calculus, its implementation in the Beagle theorem prover and experiments with it.
 
Peter Baumgartner.
Model Evolution Based Theorem Proving.
IEEE Intelligent Systems, 29(1):4--10, Jan.--Feb. 2014.
Copyright IEEE, http://www.ieee.org. [ bib | DOI | .pdf ]
 
Peter Baumgartner, Joshua Bax, and Uwe Waldmann.
Finite Quantification in Hierarchic Theorem Proving.
In S. Demri, D. Kapur, and C. Weidenbach, editors, IJCAR 2014, volume 8562 of LNAI, pages 152--167, Vienna, 2014. Springer Switzerland. [ bib | .pdf ]
Many applications of automated deduction require reasoning in first-order logic modulo background theories, in particular some form of integer arithmetic. A major unsolved research challenge is to design theorem provers that are “reasonably complete” even in the presence of free function symbols ranging into a background theory sort. In this paper we consider the case when all variables occurring below such function symbols are quantified over a finite subset of their domains. We present a non-naive decision procedure for background theories extended this way on top of black-box decision procedures for the EA-fragment of the background theory. In its core, it employs a model-guided instantiation strategy for obtaining pure background formulas that are equi-satisfiable with the original formula. Unlike traditional finite model finders, it avoids exhaustive instantiation and, hence, is expected to scale better with the size of the domains. Our main results in this paper are a correctness proof and first experimental results.