By the same authors

Extensible Automated Constraint Modelling

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Publication details

Title of host publicationProceedings of theTwenty-Fifth AAAI Conference on Artificial Intelligence
DatePublished - Aug 2011
Pages4-11
Number of pages8
PublisherAAAI Press
Place of PublicationSan Francisco
Original languageEnglish
ISBN (Print)978-1-57735-507-6

Abstract

In constraint solving, a critical bottleneck is the formulationof an effective constraint model of a given problem. The CONJURE system described in this paper, a substantial step forward over prototype versions of CONJURE previously reported, makes a valuable contribution to the automation of constraint modelling by automatically producing constraint models from their specifications in the abstract constraint specification language ESSENCE. A set of rules is used to refine an abstract specification into a concrete constraint model. We demonstrate that this set of rules is readily extensible to increase the space of possible constraint models CONJURE can produce. Our empirical results confirm that CONJURE can reproduce successfully the kernels of the constraint models of 32 benchmark problems found in the literature.

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