Martin C. Cooper ; Stanislav Živný - The Power of Arc Consistency for CSPs Defined by Partially-Ordered Forbidden Patterns

lmcs:4049 - Logical Methods in Computer Science, December 27, 2017, Volume 13, Issue 4 - https://doi.org/10.23638/LMCS-13(4:26)2017
The Power of Arc Consistency for CSPs Defined by Partially-Ordered Forbidden PatternsArticle

Authors: Martin C. Cooper ORCID; Stanislav Živný

    Characterising tractable fragments of the constraint satisfaction problem (CSP) is an important challenge in theoretical computer science and artificial intelligence. Forbidding patterns (generic sub-instances) provides a means of defining CSP fragments which are neither exclusively language-based nor exclusively structure-based. It is known that the class of binary CSP instances in which the broken-triangle pattern (BTP) does not occur, a class which includes all tree-structured instances, are decided by arc consistency (AC), a ubiquitous reduction operation in constraint solvers. We provide a characterisation of simple partially-ordered forbidden patterns which have this AC-solvability property. It turns out that BTP is just one of five such AC-solvable patterns. The four other patterns allow us to exhibit new tractable classes.


    Volume: Volume 13, Issue 4
    Published on: December 27, 2017
    Accepted on: November 8, 2017
    Submitted on: November 6, 2017
    Keywords: Computer Science - Computational Complexity,Computer Science - Artificial Intelligence,68Q15,F.4.1
    Funding:
      Source : OpenAIRE Graph
    • Power of Algorithms in Discrete Optimisation; Funder: European Commission; Code: 714532
    • Constraint Network Tractability: Beyond Structure and Language; Funder: UK Research and Innovation; Code: EP/L021226/1

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