Chaff: engineering an efficient SAT solver
Proceedings of the 38th annual Design Automation Conference
Generating Satisfiable Problem Instances
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Balance and filtering in structured satisfiable problems
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
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This paper describes a translation of the time-reversal prob-in Life to propositional satisfiability. Two useful features of this translation are: that the encoding is linear (in both variables and clauses) with respect to the number of cells in the original problem; and, it can be used to generate problem instances that are known a priori to be satisfiable. The problem is shown to have statistically defined hard regions where instances are on average more difficult than in other regions.