MizAR 60 for Mizar 50

Jan Jakubruv, Karel Chvalovsk'y, Z. Goertzel, C. Kaliszyk, Mirek Olvs'ak, Bartosz Piotrowski, S. Schulz, M. Suda, J. Urban
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引用次数: 2

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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开刀60到开刀50
作为送给Mizar成立50周年的礼物,我们开发了一个AI/TP系统,可以在锤式设置中自动证明大约60%的Mizar定理。当自动证明者只使用人类书写的Mizar证明中使用的前提时,我们也自动证明了75%的Mizar定理。我们描述了导致这些结果的方法和大规模实验。这尤其包括E和Vampire证明,他们的ENIGMA和Deepire学习修改,许多基于学习的前提选择方法,以及与训练日益强大的AI/TP系统交织增长的数百万ATP证明语料库的增量循环。我们还提出了一些被自动证明的Mizar问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Formalizing Norm Extensions and Applications to Number Theory Fermat's Last Theorem for regular primes MizAR 60 for Mizar 50 Reimplementing Mizar in Rust A Formal Analysis of RANKING
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