Translation-based Constraint Answer Set Solving

Computer Science – Artificial Intelligence

Scientific paper

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Self-archived version for IJCAI'11 Best Paper Track submission

Scientific paper

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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