Optimization techniques for propositional intuitionistic logic and their implementation

  • Authors:
  • Alessandro Avellone;Guido Fiorino;Ugo Moscato

  • Affiliations:
  • Dipartimento di Metodi Quantitativi per le Scienze Economiche e Aziendali, Università di Milano-Bicocca, Piazza dellAteneo Nuovo, 1, 20126 Milano, Italy;Dipartimento di Metodi Quantitativi per le Scienze Economiche e Aziendali, Università di Milano-Bicocca, Piazza dellAteneo Nuovo, 1, 20126 Milano, Italy;Dipartimento di Metodi Quantitativi per le Scienze Economiche e Aziendali, Università di Milano-Bicocca, Piazza dellAteneo Nuovo, 1, 20126 Milano, Italy

  • Venue:
  • Theoretical Computer Science
  • Year:
  • 2008

Quantified Score

Hi-index 5.23

Visualization

Abstract

This paper presents some techniques which bound the proof search space in propositional intuitionistic logic. These techniques are justified by Kripke semantics and are the backbone of a tableau based theorem prover (PITP) implemented in C++. PITP and some known theorem provers are compared using the formulas of ILTP benchmark library. It turns out that PITP is, at the moment, the propositional prover that solves most formulas of the library.