English

Enhancing Constraint Propagation with Composition Operators

Artificial Intelligence 2007-05-23 v1

Abstract

Constraint propagation is a general algorithmic approach for pruning the search space of a CSP. In a uniform way, K. R. Apt has defined a computation as an iteration of reduction functions over a domain. He has also demonstrated the need for integrating static properties of reduction functions (commutativity and semi-commutativity) to design specialized algorithms such as AC3 and DAC. We introduce here a set of operators for modeling compositions of reduction functions. Two of the major goals are to tackle parallel computations, and dynamic behaviours (such as slow convergence).

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Cite

@article{arxiv.cs/0107002,
  title  = {Enhancing Constraint Propagation with Composition Operators},
  author = {Laurent Granvilliers and Eric Monfroy},
  journal= {arXiv preprint arXiv:cs/0107002},
  year   = {2007}
}

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14 pages