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21
The Model Evolution Calculus
, 2003
"... The DPLL procedure is the basis of some of the most successful propositional satisfiability solvers to date. Although originally devised as a proofprocedure for firstorder logic, it has been used almost exclusively for propositional logic so far because of its highly inefficient treatment of quanti ..."
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Cited by 87 (14 self)
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The DPLL procedure is the basis of some of the most successful propositional satisfiability solvers to date. Although originally devised as a proofprocedure for firstorder 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 recent FDPLL calculus by Baumgartner was the first successful attempt to lift the procedure to the firstorder level without resorting to ground instantiations. FDPLL lifts to the firstorder 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, one of FDPLL's optimizations, and so has the potential of leading to much faster implementations.
A FirstOrder Logic DavisPutnamLogemannLoveland Procedure
"... The DavisPutnamLogemannLoveland procedure (DPLL) was introduced in the early ..."
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Cited by 38 (6 self)
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The DavisPutnamLogemannLoveland procedure (DPLL) was introduced in the early
Incremental closure of free variable tableaux
 Proc. Intl. Joint Conf. on Automated Reasoning IJCAR
, 2001
"... Abstract. This paper presents a technique for automated theorem proving with free variable tableaux that does not require backtracking. Most existing automated proof procedures using free variable tableaux require iterative deepening and backtracking over applied instantiations to guarantee complete ..."
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Cited by 30 (4 self)
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Abstract. This paper presents a technique for automated theorem proving with free variable tableaux that does not require backtracking. Most existing automated proof procedures using free variable tableaux require iterative deepening and backtracking over applied instantiations to guarantee completeness. If the correct instantiation is hard to find, this can lead to a significant amount of duplicated work. Incremental Closure is a way of organizing the search for closing instantiations that avoids this inefficiency. 1
The Inverse Method
, 2001
"... this paper every formula is equivalent to a formula in negation normal form ..."
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Cited by 12 (1 self)
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this paper every formula is equivalent to a formula in negation normal form
Knowledge Representation and Classical Logic
, 2007
"... Mathematical logicians had developed the art of formalizing declarative knowledge long before the advent of the computer age. But they were interested primarily in formalizing mathematics. Because of the important role of nonmathematical knowledge in AI, their emphasis was too narrow from the perspe ..."
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Cited by 11 (4 self)
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Mathematical logicians had developed the art of formalizing declarative knowledge long before the advent of the computer age. But they were interested primarily in formalizing mathematics. Because of the important role of nonmathematical knowledge in AI, their emphasis was too narrow from the perspective of knowledge representation, their formal languages were not sufficiently expressive. On the other hand, most logicians were not concerned about the possibility of automated reasoning; from the perspective of knowledge representation, they were often too generous in the choice of syntactic constructs. In spite of these differences, classical mathematical logic has exerted significant influence on knowledge representation research, and it is appropriate to begin this handbook with a discussion of the relationship between these fields. The language of classical logic that is most widely used in the theory of knowledge representation is the language of firstorder (predicate) formulas. These are the formulas that John McCarthy proposed to use for representing declarative knowledge in his advice taker paper [176], and Alan Robinson proposed to prove automatically using resolution [236]. Propositional logic is, of course, the most important subset of firstorder logic; recent
Computational Space Efficiency and Minimal Model Generation for Guarded Formulae
, 2001
"... This paper describes two hyperresolutionbased decision procedures for a subfragment of the guarded fragment. The rst procedure is a polynomial space decision procedure which eectively corresponds to polynomial space tableauxbased algorithms without blocking. The second procedure is a minimal mo ..."
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Cited by 7 (6 self)
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This paper describes two hyperresolutionbased decision procedures for a subfragment of the guarded fragment. The rst procedure is a polynomial space decision procedure which eectively corresponds to polynomial space tableauxbased algorithms without blocking. The second procedure is a minimal model generation procedure which constructs all and only minimal Herbrand models for guarded formulae. This procedure is based on hyperresolution, complement splitting and a model constraint propagation rule. Both procedures have concrete application domains and are relevant for all multimodal and description logics that can be embedded into the guarded fragment.
Uniform Variable Splitting
 IN CONTRIBUTIONS TO THE DOCTORAL PROGRAMME OF THE SECOND INTERNATIONAL JOINT CONFERENCE ON AUTOMATED REASONING (IJCAR 2004
, 2007
"... ..."
Automated Reasoning: Past Story and New Trends*
"... We overview the development of firstorder automated reasoning systems starting from their early years. Based on the analysis of current and potential applications of such systems, we also try to predict new trends in firstorder automated reasoning. Our presentation will be centered around two main ..."
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Cited by 2 (0 self)
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We overview the development of firstorder automated reasoning systems starting from their early years. Based on the analysis of current and potential applications of such systems, we also try to predict new trends in firstorder automated reasoning. Our presentation will be centered around two main motives: efficiency and usefulness for existing and future potential applications. This paper expresses the views of the author on past, present, and future of theorem proving in firstorder logic gained during ten years of working on the development, implementation, and applications of the theorem prover Vampire, see [Riazanov and Voronkov, 2002a]. It reflects our recent experience with applications of Vampire in verification, proof assistants, theorem proving, and semantic Web, as well as the analysis of future potential applications. 1 Theorem Proving in FirstOrder Logic The idea of automatic theorem proving has a long history both in mathematics and computer science. For a long time, it was believed by many that hard theorems in mathematics can be proved in a completely automatic way, using the ability of computers to perform fast combinatorial calculations. The very first experiments in automated theorem proving have shown that the purely combinatorial methods of proving firstorder theorems are too week even for proving theorems regarded as relatively easy by mathematicians. Provability in firstorder logic is a very hard combinatorial problem. Firstorder logic is undecidable, which means that there is no terminating procedure checking provability of formulas. There are decidable classes of firstorder formulas but formulas of these classes do not often arise in applications. Due to undecidability, very short formulas may turn out to be extremely complex, while very long ones rather easy. Sometimes firstorder provers find proofs consisting of several thousand steps in a few seconds, but sometimes it takes hours to find a tenstep proof. The theory of firstorder reasoning is centered around the completeness theorems while in practice completeness is often not an issue due to the intrinsic * Partially supported by a grant from EPSRC.
G.: Using the TPTP Language for Representing Derivations in Tableau and Connection Calculi
 Workshop on Practical Aspects of Automated Reasoning
, 2010
"... The TPTP language, developed within the framework of the TPTP library, allows the representation of problems and solutions in firstorder and higherorder logic. Whereas the writing of solutions in resolution calculi is well documented and used, an appropriate representation of solutions in tableau ..."
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Cited by 1 (1 self)
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The TPTP language, developed within the framework of the TPTP library, allows the representation of problems and solutions in firstorder and higherorder logic. Whereas the writing of solutions in resolution calculi is well documented and used, an appropriate representation of solutions in tableau or connection calculi using the TPTP syntax has not yet been specified. This paper describes how the TPTP language can be used to represent derivations and solutions in standard tableau, sequent and connection calculi for classical firstorder logic. 1