Automated Deduction Techniques for Studying Rough Algebras

  • Authors:
  • Laurent Vigneron

  • Affiliations:
  • LORIA - Université Nancy 2, B.P. 239, 54506 Vandœuvre-lès-Nancy Cedex, France. E-mail: vigneron@loria.fr

  • Venue:
  • Fundamenta Informaticae
  • Year:
  • 1998

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Abstract

We present a non-exhaustive state of the art in the domain of deduction in first-order logic with equality, describing different strategies introduced over the years: strategies for selecting deduction steps, for eliminating redundant information, for delaying the resolution of unsolved or too difficult problems, for applying deductions with built-in properties. We also present the system da&Tgr;ac that implements our deduction techniques modulo associative-commutative properties. Finally we detail an application of those techniques to the study of non-classical logics, work realised in collaboration with Prof. Wasilewska (Stony Brook University, New York).