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Article . 2002
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Article . 2002
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Journal of Logic and Computation
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On Greatest Fixpoint Semantics of Logic Programming

On greatest fixpoint semantics of logic programming
Authors: Jaume, Mathieu;

On Greatest Fixpoint Semantics of Logic Programming

Abstract

The study of fixpoints has long been at the heart of logic programming. However, whereas least fixpoint semantics works well for SLD‐refutations (i.e. is sound and complete), there is no satisfactory (i.e. complete) fixpoint semantics for infinite derivations. In this paper, we focus on this problem. Standard approaches in this area consist in concentrating on infinite derivations that can be seen as computing, in the limit, some infinite object. This is usually done by extending the domain of computation with infinite elements and then defining the meaning of programs in terms of greatest fixpoints. The main drawback of these approaches is that the semantics defined is not complete. Hence, since defining a greatest fixpoint semantics for logic programs amounts to consider a program as a set of co‐inductive definitions, we focus on this identification at a deeper level by considering infinite derivations as proof‐terms in a co‐inductive set. This reading leads into considering derivations as proofs rather than computations and allows one to show that for the subclass of infinite derivations over the domain of finite terms, a complete greatest fixpoint semantics can be obtained. Our main result is that the greatest fixpoint of the one‐step‐inference operator for the C‐semantics corresponds to atoms that have a non‐failing fair derivation with the additional property that complete information over a variable is obtained after finitely many steps.

Keywords

SLD-derivations, co-inductive definitions, Semantics in the theory of computing, fixpoint semantics, [INFO] Computer Science [cs], 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!
3
Average
Average
Average
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