Implementing mathematics with the Nuprl proof development system
Implementing mathematics with the Nuprl proof development system
Fundamenta Informaticae - Special issue on symbolic computation and artificial intelligence
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IJCAR '01 Proceedings of the First International Joint Conference on Automated Reasoning
The ILTP Problem Library for Intuitionistic Logic
Journal of Automated Reasoning
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Electronic Notes in Theoretical Computer Science (ENTCS)
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In this paper we discuss the new version of PITP, a procedure to decide propositional intuitionistic logic, which turns out at the moment to be the best propositional prover on ILTP. The changes in the strategy and implementation make the new version of PITP faster and capable of deciding more formulas than the previous one. We give a short account both of the old optimizations and the changes in the strategy with respect to the previous version. We use ILTP library and random generated formulas to compare the implementation described in this paper to the other provers (including our old version of PITP).