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Theorem proving by combinatorial optimization

  • Hachemi Bennaceur
  • Gérard Plateau
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 677)

Abstract

The inference problem in propositional logic realizes a strong connection between Artificial Intelligence and Operational Research. It is now well-known that this problem can be formulated as a constraint satisfaction problem (CSP), whose system has a generalized covering type (we recall that a CSP consists in proving the emptiness of a domain defined by a set of diophantinc constraints, or the existence of a solution). We propose a new method -denoted by FAST (Fast Algorithm for the constraint Satisfaction Test problems)- which allows an efficient solution of the CSP instances for logical inference. Computational results are reported for 3-SAT, 4-SAT and system expert type instances.

Key Words

Constraint Satisfaction Problem Logical Inference Integer Programming Branch and Cut Automatic Theorem Proving Combinatorial Problem Design of Algorithm 

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Copyright information

© Springer-Verlag Berlin Heidelberg 1993

Authors and Affiliations

  • Hachemi Bennaceur
    • 1
  • Gérard Plateau
    • 1
  1. 1.Institut Galilée Laboratoire d'Informatique de Paris-NordUniversité Paris-NordVilletaneuseFrance

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