Title of article :
The model evolution calculus as a first-order DPLL method Original Research Article
Author/Authors :
Peter Baumgartner، نويسنده , , Cesare Tinelli، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2008
Pages :
42
From page :
591
To page :
632
Abstract :
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 lifting 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.
Keywords :
Sequent calculi , DPLL procedure , First-order logic , Model generation
Journal title :
Artificial Intelligence
Serial Year :
2008
Journal title :
Artificial Intelligence
Record number :
1207603
Link To Document :
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