Peter Baumgartner, Alexander Fuchs, and Cesare Tinelli.
ME(LIA) - Model Evolution With Linear Integer Arithmetic Constraints.
In I. Cervesato, H. Veith, and A. Voronkov, editors, Proceedings of the 15th International Conference on Logic for Programming, Artificial Intelligence and Reasoning (LPAR'08), volume 5330 of Lecture Notes in Artificial Intelligence, pages 258-273. Springer, November 2008. [ bib | DOI | .pdf ]
Many applications of automated deduction require reasoning modulo some form of integer arithmetic. Unfortunately, theory reasoning support for the integers in current theorem provers is sometimes too weak for practical purposes. In this paper we propose a novel calculus for a large fragment of first-order logic modulo Linear Integer Arithmetic (LIA) that overcomes several limitations of existing theory reasoning approaches. The new calculus - based on the Model Evolution calculus, a first-order logic version of the propositional DPLL procedure - supports restricted quantifiers, requires only a decision procedure for LIA-validity instead of a complete LIA-unification procedure, and is amenable to strong redundancy criteria. We present a basic version of the calculus and prove it sound and (refutationally) complete.

Alessandro Armando, Peter Baumgartner, and Gilles Dowek, editors.
Automated Reasoning - 4th International Conference, IJCAR 2008, volume 5195 of Lecture Notes in Artificial Intelligence. Springer, August 2008. [ bib | DOI ]
Peter Baumgartner and Cesare Tinelli.
The Model Evolution Calculus as a First-Order DPLL Method.
Artificial Intelligence, 172(4-5):591-632, 2008. [ bib | DOI | .pdf ]
The DPLL procedure is the basis of some of the most successful propositional satisfiability solvers to date. Although originally devised as a proof-procedure for first-order logic, it has been used almost exclusively for propositional logic so far because of its highly inefficient treatment of quantifiers, based on instantiation into ground formulas. The FDPLL calculus by Baumgartner was the first successful attempt to lift the procedure to the first-order level without resorting to ground instantiations. FDPLL lifts to the first-order case the core of the DPLL procedure, the splitting rule, but ignores other aspects of the procedure that, although not necessary for completeness, are crucial for its effectiveness in practice.

In this paper, we present a new calculus loosely based on FDPLL that lifts these aspects as well. In addition to being a more faithful litfing of the DPLL procedure, the new calculus contains a more systematic treatment of universal literals, which are crucial to achieve efficiency in practice. The new calculus has been implemented successfully in the Darwin system, described elsewhere. The main results of this paper are theoretical, showing the soundness and completeness of the new calculus. In addition, the paper provides a high-level description of a proof procedure for the calculus, as well as a comparison with other calculi.