A First Practical Algorithm for High Levels of Relational Consistency
Abstract
Consistency properties and algorithms for achieving them are at the heart of the success of Constraint Programming. In this paper, we study the relational consistency property R(*,m)C, which is equivalent to m-wise consistency proposed in relational databases. We also define wR(*,m)C, a weaker variant of this property. We propose an algorithm for enforcing these properties on a Constraint Satisfaction Problem by tightening the existing relations and without introducing new ones. We empirically show that wR(*,m)C solves in a backtrack-free manner all the instances of some CSP benchmark classes, thus hinting at the tractability of those classes.
Cite
Text
Karakashian et al. "A First Practical Algorithm for High Levels of Relational Consistency." AAAI Conference on Artificial Intelligence, 2010. doi:10.1609/AAAI.V24I1.7535Markdown
[Karakashian et al. "A First Practical Algorithm for High Levels of Relational Consistency." AAAI Conference on Artificial Intelligence, 2010.](https://mlanthology.org/aaai/2010/karakashian2010aaai-first/) doi:10.1609/AAAI.V24I1.7535BibTeX
@inproceedings{karakashian2010aaai-first,
title = {{A First Practical Algorithm for High Levels of Relational Consistency}},
author = {Karakashian, Shant and Woodward, Robert J. and Reeson, Christopher G. and Choueiry, Berthe Y. and Bessiere, Christian},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2010},
pages = {101-107},
doi = {10.1609/AAAI.V24I1.7535},
url = {https://mlanthology.org/aaai/2010/karakashian2010aaai-first/}
}