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Proof Logging for Smart Extensional Constraints

Authors Matthew J. McIlree , Ciaran McCreesh

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Author Details

Matthew J. McIlree
  • University of Glasgow, UK
Ciaran McCreesh
  • University of Glasgow, UK

Funding

Part of this work was done while the authors were participating in a programme at the Simons Institute for the Theory of Computing.
  • McCreesh, Ciaran: Supported by a Royal Academy of Engineering research fellowship.

Acknowledgements

The authors would like to thank Jakob Nordström for several helpful discussions regarding pseudo-Boolean encodings and unit propagation.

Cite AsGet BibTex

Matthew J. McIlree and Ciaran McCreesh. Proof Logging for Smart Extensional Constraints. In 29th International Conference on Principles and Practice of Constraint Programming (CP 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 280, pp. 26:1-26:17, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)
https://doi.org/10.4230/LIPIcs.CP.2023.26

Abstract

Proof logging provides an auditable way of guaranteeing that a solver has produced a correct answer using sound reasoning. This is standard practice for Boolean satisfiability solving, but for constraint programming, a challenge is that every propagator must be able to justify all inferences it performs. Here we demonstrate how to support proof logging for a wide range of previously uncertified global constraints. We do this by showing how to justify every inference that could be performed by the propagation algorithms for two families of generalised extensional constraint: "Smart Table" and "Regular Language Membership".

Subject Classification

ACM Subject Classification
  • Theory of computation → Logic and verification
  • Theory of computation → Discrete optimization
Keywords
  • Constraint programming
  • proof logging
  • extensional constraints

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Supplementary Materials

References

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