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. 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.
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This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.
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Read Full Paper at OpenAlex| Source | OpenAlex |
| Category | 🤖 Artificial Intelligence |
| Published | Jan 1, 2023 |
| Journal | DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) |
| DOI | 10.4230/lipics.itp.2023.19 |
| Citations | 76,217 |
| Authors | Jakubův, Jan, Chvalovský, Karel, Goertzel, Zarathustra, Kaliszyk, Cezary, Olšák, Mirek |