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IJCAI 2011

Translation-Based Constraint Answer Set Solving

Conference Paper Best Paper Track Artificial Intelligence

Abstract

We solve constraint satisfaction problems through translation to answer set programming (ASP). Our reformulations have the property that unit-propagation in the ASP solver achieves well defined local consistency properties like arc, bound and range consistency. Experiments demonstrate the computational value of this approach.

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Context

Venue
International Joint Conference on Artificial Intelligence
Archive span
1969-2025
Indexed papers
14525
Paper id
835884734305648218
v2026.09.13