Probabilistic satisfiability: logic-based algorithms and phase transition

  • Authors:
  • Marcelo Finger;Glauber De Bona

  • Affiliations:
  • Department of Computer Science, Institute of Mathematics and Statistics, University of São Paulo, Brazil;Department of Computer Science, Institute of Mathematics and Statistics, University of São Paulo, Brazil

  • Venue:
  • IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume One
  • Year:
  • 2011

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Abstract

In this paper, we study algorithms for probabilistic satisfiability (PSAT), an NP-complete problem, and their empiric complexity distribution. We define a PSAT normal form, based on which we propose two logic-based algorithms: a reduction of normal form PSAT instances to SAT, and a linearalgebraic algorithmwith a logic-based column generation strategy. We conclude that both algorithms present a phase transition behaviour and that the latter has a much better performance.