CLAS: a Complete Learning Algorithm for propositional Satisfiability

نویسندگان

  • Renato Bruni
  • Antonio Sassano
چکیده

In this paper an approach is described for solving propositional Satisfiability problems, which makes use of an adaptive technique. Its main feature is a new enumeration scheme, which is able to identify, at an early stage, hard sub-formulae. This scheme is based on a simple and easy computable criterion, whose merit function is updated by a learning mechanism, and guides the exploration of a clause based branching tree. Completeness is guaranteed, being this a Branch

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تاریخ انتشار 1999