License: Creative Commons Attribution 3.0 Unported license (CC-BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.ICLP.2016.13
URN: urn:nbn:de:0030-drops-67437
URL: https://drops.dagstuhl.de/opus/volltexte/2016/6743/
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Gange, Graeme ; Stuckey, Peter J.

Constraint Propagation and Explanation over Novel Types by Abstract Compilation

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OASIcs-ICLP-2016-13.pdf (0.6 MB)


Abstract

The appeal of constraint programming (CP) lies in compositionality – the ability to mix and match constraints as needed. However, this flexibility typically does not extend to the types of variables. Solvers usually support only a small set of pre-defined variable types, and extending this is not typically a simple exercise: not only must the solver engine be updated, but then the library of supported constraints must be re-implemented to support the new type. In this paper, we attempt to ease this second step. We describe a system for automatically deriving a native-code implementation of a global constraint (over novel variable types) from a declarative specification, complete with the ability to explain its propagation, a requirement if we want to make use of modern lazy clause generation CP solvers. We demonstrate this approach by adding support for wrapped-integer variables to chuffed, a lazy clause generation CP solver.

BibTeX - Entry

@InProceedings{gange_et_al:OASIcs:2016:6743,
  author =	{Graeme Gange and Peter J. Stuckey},
  title =	{{Constraint Propagation and Explanation over Novel Types by Abstract Compilation}},
  booktitle =	{Technical Communications of the 32nd International Conference on Logic Programming (ICLP 2016)},
  pages =	{13:1--13:14},
  series =	{OpenAccess Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-007-1},
  ISSN =	{2190-6807},
  year =	{2016},
  volume =	{52},
  editor =	{Manuel Carro and Andy King and Neda Saeedloei and Marina De Vos},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2016/6743},
  URN =		{urn:nbn:de:0030-drops-67437},
  doi =		{10.4230/OASIcs.ICLP.2016.13},
  annote =	{Keywords: constraint programming, program synthesis, program analysis}
}

Keywords: constraint programming, program synthesis, program analysis
Collection: Technical Communications of the 32nd International Conference on Logic Programming (ICLP 2016)
Issue Date: 2016
Date of publication: 11.11.2016


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