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TCHR: a framework for tabled CLP

Authors: Schrijvers, Tom; Demoen, Bart; Warren, David Scott;

TCHR: a framework for tabled CLP

Abstract

Abstract Tabled Constraint Logic Programming is a powerful execution mechanism for dealing with Constraint Logic Programming without worrying about fixpoint computation. Various applications, e.g. in the fields of program analysis and model checking, have been proposed. Unfortunately, a high-level system for developing new applications is lacking, and programmers are forced to resort to complicated ad hoc solutions. This papers presents TCHR, a high-level framework for tabled Constraint Logic Programming. It integrates in a light-weight manner Constraint Handling Rules (CHR), a high-level language for constraint solvers, with tabled Logic Programming. The framework is easily instantiated with new application-specific constraint domains. Various high-level operations can be instantiated to control performance. In particular, we propose a novel, generalized technique for compacting answer sets.

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Keywords

FOS: Computer and information sciences, Technology, Logic, tabled execution, cs.PL, CONSTRAINT HANDLING RULES, Logic programming, constraint handling rules, Computation Theory & Mathematics, CHECKING, Computer Science, Theory & Methods, 0801 Artificial Intelligence and Image Processing, 0802 Computation Theory and Mathematics, 4613 Theory of computation, constraint logic programming, Science & Technology, Computer Science - Programming Languages, Constraint Handling Rules, 4602 Artificial intelligence, 0803 Computer Software, Computer Science, Software Engineering, Computer Science, Science & Technology - Other Topics, Programming Languages (cs.PL)

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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!
4
Average
Average
Average
Green
bronze