Translation-based Constraint Answer Set Solving

Drescher, Christian, Walsh, Toby

arXiv.org Artificial Intelligence 

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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