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Completeness and Redundancy in Constrained Clause Logic

Published: 01 January 2000 Publication History

Abstract

. In [6], a resolution-based inference system on c-clauses (i.e. constrained clauses) was introduced, incorporating powerful deletion rules for redundancy elimination. This inference system was extended to resolution refinements in subsequent papers of Caferra et al. (e.g. [4] and [5]). The completeness proofs given for the purely refutational calculi (i.e.: the inference systems without deletion rules) are basically "translations" of the corresponding results from standard clause logic to constrained clause logic (= c-clause logic, for short).
This work focuses on the deletion rules of the calculi of Caferra et al. and, in particular, on the c-dissubsumption rule, which is considerably more powerful than the usual subsumption concept in standard clause logic. We will show that the "conventional" method for proving the completeness of (standard clause) resolution refinements with subsumption fails when the powerful deletion rules of Caferra et al. are considered. Therefore, in order to prove the completeness of the c-clause calculi, a different strategy is required. To this end, we shall extend the well-known concept of semantic trees from standard clause logic to c-clause logic. In general, purely non-deterministic application of the inference rules is not sufficient to ensure refutational completeness. It is intuitively clear, that some sort of "fairness" must be required. The completeness proof via semantic trees gives us a hint for defining precisely what it means for a rule application strategy to be "fair".
Finally other methods for proving completeness and defining redundancy criteria are contrasted with completeness via semantic trees and c-dissubsumption. In particular, it is shown that the redundancy criteria within the ordering-based approaches of Bachmair/Ganzinger (cf. [2]) and Nieuwenhuis/Rubio (cf. [11]) are incomparable with c-dissubsumption.

References

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Ch. Bourely, R. Caferra, N. Peltier: A Method for Building Models automatically. Experiments with an Extension of Otter. Proceedings of CADE-12, LNAI 814, pp. 72-86 Springer (1994).
[2]
L. Bachmair, H. Ganzinger: Rewrite-based Equational Theorem Proving with Selection and Simplification, Journal of Logic and Computation, Vol 4 No 3, pp. 217-247 (1994).
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H. Comon, P. Lescanne: Equational Problems and Disunification, Journal of Symbolic Computation, Vol 7, pp. 371-425 (1989).
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R. Caferra, N. Peltier: Extending semantic Resolution via automated Model Building: applications, Proceedings of IJCAI'95, Morgan Kaufmann (1995)
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R. Caferra, N. Peltier: Decision Procedures using Model Building Techniques, Proceedings of CSL'95, LNCS 1092, pp.130-144, Springer (1996).
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R. Caferra, N. Zabel: Extending Resolution for Model Construction, Proceedings of Logics in AI - JELIA'90, LNAI 478, pp. 153-169, Springer (1991).
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C. Fermüller, A. Leitsch: Hyperresolution and Automated Model Building, Journal of Logic and Computation, Vol 6 No 2, pp.173-230 (1996).
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J. Hsiang, M. Rusinowitch: Proving Refutational Completeness of Theorem-Proving Strategies: The Transfinite Semantic Tree Method, Journal of the ACM, Vol 38 No 3, pp. 559-587 (1991).
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A. Leitsch: The Resolution Calculus, Texts in Theoretical Computer Science, Springer (1997).
[11]
R. Nieuwenhuis, A. Rubio: Theorem Proving with ordering and equality constrained clauses, Journal of Symbolic Computation, Vol 11, pp. 1-32 (1995).

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Published In

cover image Guide Proceedings
Selected Papers from Automated Deduction in Classical and Non-Classical Logics
January 2000
297 pages
ISBN:3540671900

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 January 2000

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