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On Dual Encodings for Non-binary Constraint Satisfaction Problems
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On Dual Encodings for Non-binary Constraint Satisfaction Problems
S. Nagarajan5 , S. Goodwin5 , A. Sattar6 and J. Thornton6 
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Department of Computer Science, University of Regina, Regina, Saskatchewan, Canada |
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School of Information Technology, Griffith University, Gold Coast, Queensland, Australia |
Abstract
In [Walsh and Stergiou, 1999] enforcing arc consistency (AC) in the dual encoding was shown to strictly dominate enforcing AC on the hidden or GAC on
the original problem. We introduce a dual encoding that requires only a small subset of the original constraints to be stored
in extension, while the remaining constraints can be stored intensionally. In this paper we present a theoretical comparison
between the pruning achieved by enforcing AC on this dual encoding, versus enforcing GAC and dual arc consistency on the standard
encoding. We show how the covering based encoding retains the dominance over enforcing GAC on the original problem, while
using less space than the existing dual encoding.
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