Combining inference and search for the propositional satisfiability problem

  • Authors:
  • Lyndon Drake;Alan Frisch;Toby Walsh

  • Affiliations:
  • Computer Science Department, University of York, Heslington, York YO10 5DD, United Kingdom;Computer Science Department, University of York, Heslington, York YO10 5DD, United Kingdom;Cork Constraint Computation Centre, University College Cork, Cork, Ireland

  • Venue:
  • Eighteenth national conference on Artificial intelligence
  • Year:
  • 2002

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Abstract

The most effective complete method for testing propositional satisfiability (SAT) is backtracking search. Recent research suggests that adding more inference to SAT search procedures can improve their performance. This paper presents two ways to combine neighbour resolution (one such inference technique) with search.