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The Journal of Logic Programming
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The Journal of Logic Programming
Article . 1993
License: Elsevier Non-Commercial
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The Journal of Logic Programming
Article . 1993 . Peer-reviewed
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Tight, consistent, and computable completions for unrestricted logic programs

Authors: Mark Wallace 0001;

Tight, consistent, and computable completions for unrestricted logic programs

Abstract

Summary: Clark's program completion offers an intuitive first-order semantics for logic programs. Unfortunately, it does not fully capture the ``tight'' bottom-up semantics for recursive programs since it does not express enough negative information. Therefore, various canonical model semantics have been proposed which offer the required tight semantics for increasingly general classes of programs. Canonical models are defined in terms of fixpoint operators on program interpretations. The resulting semantics is hard to specify, harder to understand, and impossible to compute. In this paper, we propose to rehabilitate the program completion. We show how it can be extended to capture the tight semantics, and how a consistent completion can be derived for all programs, without resorting to three-valued logic. Finally, by lifting the restriction to Herbrand domains, we exhibit a tight, consistent, computable semantics for unrestricted logic programs. As with any completion, the meaning of a program is a set of axioms directly constructed from the program text.

Keywords

Logic, Semantics in the theory of computing, Clark's program completion, negation in logic programming, first-order semantics for logic programs, Logic programming

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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!
15
Average
Top 10%
Average
hybrid