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The Journal of Logic Programming
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The Journal of Logic Programming
Article . 1990
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Article . 1990 . Peer-reviewed
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A transformational approach to negation in logic programming

Authors: BARBUTI, ROBERTO; MANCARELLA, PAOLO MARIA; PEDRESCHI, DINO; TURINI, FRANCO;

A transformational approach to negation in logic programming

Abstract

Summary: A transformation technique is introduced which, given the Horn-clause definitions of a set of predicates \(p_ i\), synthesizes the definitions of new predicates \(\widetilde p_ i\) which can be used, under a suitable refutation procedure, to compute the finite failure set of \(p_ i\). This technique exhibits some computational advantages, such as the possibility of computing nonground negative goals still preserving the capability of producing answers. The refutation procedure, named SLDN refutation, is proved sound and complete with respect to the completed program.

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Keywords

SLDN refutation, Logic, General topics in the theory of software, soundness, Logic programming, logic programming, completeness, negative information, negation as failure, Theorem proving (deduction, resolution, etc.)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
48
Average
Top 10%
Top 10%
hybrid