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Constraints represent a powerful way of specifying knowledge in any problem solving domain. Typically the appropriate constraints for a given problem need to be fully specified. In general it is difficult to describe the appropriate constraints in every problem setting. Hence automatic constraint acquisition is an important problem. In this paper we develop a model for automatic constraint...
We present a tight integration of SAT with CP, called SAT(gc), which embeds global constraints into SAT. A prototype is implemented by integrating the state of the art SAT solver ZCHAFF and the generic constraint solver GECODE. Experiments are carried out for benchmarks from puzzle domains and planning domains to reveal insights in compact representation, solving effectiveness, and novel usability...
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