Augmenting clause learning with implied literals

  • Authors:
  • Arie Matsliah;Ashish Sabharwal;Horst Samulowitz

  • Affiliations:
  • IBM Research, Haifa, Israel;IBM Watson Research Center, Yorktown Heights;IBM Watson Research Center, Yorktown Heights

  • Venue:
  • SAT'12 Proceedings of the 15th international conference on Theory and Applications of Satisfiability Testing
  • Year:
  • 2012

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Abstract

There exist various approaches in SAT solvers that aim at extending inference based on unit propagation. For instance, probing [5] simply applies unit propagation of literals at the root node in order to detect failed literals [3] or to populate literal implication lists. The latter information can then, for instance, be used to shrink clauses by hidden literal elimination (e.g., if a $\longmapsto$ b then (a ∨ b ∨ c) can be reduced to (b ∨ c); cf. [4]).