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MizAR 60 for Mizar 50

📅 Published: January 1, 2023 👤 Jakubův, Jan, Chvalovský, Karel, Goertzel, Zarathustra et al. 📖 DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) 📊 76,217 citations
AI-Generated Summary

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.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

Key Findings
  • 1 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.
  • 2 We describe the methods and large-scale experiments leading to these results.
  • 3 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.
Why It Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

This summary is based on publicly available metadata and abstract. For the full research paper, visit the original source:

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Article Details
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