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arXiv:2303.06686cs.AI

MizAR 60 for Mizar 50

Jan Jakubův, Karel Chvalovský, Zarathustra Goertzel, Cezary Kaliszyk, Mirek Olšák, Bartosz Piotrowski, Stephan Schulz, Martin Suda, Josef Urban

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Abstract

As a present to Mizar on its 50th anniversary, we develop an AI/TP system that automatically proves about 60\% of the Mizar theorems in the hammer setting. We also automatically prove 75\% of the Mizar theorems when the automated provers are helped by using only the premises used in the human-written Mizar proofs. We describe the methods and large-scale experiments leading to these results. This includes in particular the E and Vampire provers, their ENIGMA and Deepire learning modifications, a number of learning-based premise selection methods, and the incremental loop that interleaves growing a corpus of millions of ATP proofs with training increasingly strong AI/TP systems on them. We also present a selection of Mizar problems that were proved automatically.

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DOI
Subjects
cs.AIArtificial Intelligence cs.LGMachine Learning cs.LOLogic in Computer Science cs.SCSymbolic Computation

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    • The field is fairly new to me. I'm originally from computer algebra, and somehow struggling into the field of ATP. The most interesting papers to me personally are the following three: * Making higher order superposition work. https://doi.org/10.1007/978-3-030-79876-5_24 * MizAR…

      wbhartView on HNParent context

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