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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.
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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 ]
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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.