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).
Keywords
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