Multi-resolution on compressed sets of clauses

  • Authors:
  • Affiliations:
  • Venue:
  • ICTAI '00 Proceedings of the 12th IEEE International Conference on Tools with Artificial Intelligence
  • Year:
  • 2000

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Abstract

Abstract: The paper presents a system based on new operators for handling sets of propositional clauses represented by means of ZBDDs (zero-suppressed binary decision diagrams). The high compression power of such data structures allows efficient encodings of structured instances. A specialized operator for the distribution of sets of clauses is introduced and used for performing multi-resolution on clause sets. Cut eliminations between sets of clauses of exponential size may then be performed using polynomial size data structures. The ZREs system, a new implementation of the Davis-Putnam procedure (M. Davis and H. Putnam, 1960), solves two hard problems for resolution, that are currently out of the scope of the best SAT provers.