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Generating Extended Resolution Proofs with a BDD-Based SAT Solver

Generating Extended Resolution Proofs with a BDD-Based SAT Solver

  • Randal E. Bryant10 &
  • Marijn J. H. Heule10 
  • Conference paper
  • Open Access
  • First Online: 20 March 2021
  • 2267 Accesses

  • 3 Citations

  • 1 Altmetric

Part of the Lecture Notes in Computer Science book series (LNTCS,volume 12651)

Abstract

In 2006, Biere, Jussila, and Sinz made the key observation that the underlying logic behind algorithms for constructing Reduced, Ordered Binary Decision Diagrams (BDDs) can be encoded as steps in a proof in the extended resolution logical framework. Through this, a BDD-based Boolean satisfiability (SAT) solver can generate a checkable proof of unsatisfiability. Such proofs indicate that the formula is truly unsatisfiable without requiring the user to trust the BDD package or the SAT solver built on top of it.

We extend their work to enable arbitrary existential quantification of the formula variables, a critical capability for BDD-based SAT solvers. We demonstrate the utility of this approach by applying a prototype solver to obtain polynomially sized proofs on benchmarks for the mutilated chessboard and pigeonhole problems—ones that are very challenging for search-based SAT solvers.

Keywords

  • extended resolution
  • binary decision diagrams
  • mutilated chessboard
  • pigeonhole problem

M. J. H. Heule—Supported by the National Science Foundation under grant CCF-2010951

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Authors and Affiliations

  1. Computer Science Department, Carnegie Mellon University, Pittsburgh, PA, United States

    Randal E. Bryant & Marijn J. H. Heule

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  1. Randal E. Bryant
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  2. Marijn J. H. Heule
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Correspondence to Randal E. Bryant .

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Editors and Affiliations

  1. Eindhoven University of Technology, Eindhoven, The Netherlands

    Prof. Jan Friso Groote

  2. Aalborg University, Aalborg East, Denmark

    Prof. Kim Guldstrand Larsen

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Bryant, R.E., Heule, M.J.H. (2021). Generating Extended Resolution Proofs with a BDD-Based SAT Solver. In: Groote, J.F., Larsen, K.G. (eds) Tools and Algorithms for the Construction and Analysis of Systems. TACAS 2021. Lecture Notes in Computer Science(), vol 12651. Springer, Cham. https://doi.org/10.1007/978-3-030-72016-2_5

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  • DOI: https://doi.org/10.1007/978-3-030-72016-2_5

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