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 rela- tional 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 tighten- ing 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.
Domains
Artificial Intelligence [cs.AI]
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