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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/115606...
Part of book or chapter of book . 2005 . Peer-reviewed
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DBLP
Conference object . 2017
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Solving First Order Formulae of Pseudo-Regular Theory

Authors: Sébastien Limet; Pierre Pillot;

Solving First Order Formulae of Pseudo-Regular Theory

Abstract

In this paper, we study the class of pseudo-regular relations which is an extension of regular relations that weakens some restrictions on the ”synchronization” between tuple components of the relation. We choose logic programming as formalism to describe tree tuple languages (i.e. relations) and logic program transformation techniques for computing operations on them. We show that even if pseudo-regular cs-programs are syntactically less restrictive than regular ones, they define the same class of tree tuple languages. However, pseudo-regular relations allow one to define classes of term rewrite systems the transitive closure of which is a regular relation. We apply this result to give a decidable class of first order formulae based on the joinability predicate $\downarrow^{\rm ?}_{R}$ where R is a pseudo-regular term rewrite system.

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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!
1
Average
Average
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