mlsanityData to 14 Oct 2026

Learning from Lukasiewicz and Meredith: Investigations into Proof Structures (Extended Version)

arXiv 2104.13645 ↗First posted 28 Apr 2021cs.AI cs.LOcited by 5

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Abstract (arXiv)

The material presented in this paper contributes to establishing a basis deemed essential for substantial progress in Automated Deduction. It identifies and studies global features in selected problems and their proofs which offer the potential of guiding proof search in a more direct way. The studied problems are of the wide-spread form of "axiom(s) and rule(s) imply goal(s)". The features include the well-known concept of lemmas. For their elaboration both human and automated proofs of selected theorems are taken into a close comparative consideration. The study at the same time accounts for a coherent and comprehensive formal reconstruction of historical work by Lukasiewicz, Meredith and others. First experiments resulting from the study indicate novel ways of lemma generation to supplement automated first-order provers of various families, strengthening in particular their ability to find short proofs.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 3 of its 48 references that are in the map. First posted on arXiv 28 Apr 2021.

Builds on

3 of 48 references.

References · 3

  1. 2020ENIGMA Anonymous: Symbol-Independent Inference Guiding Machine (system description)cited by 26
  2. 2020Facets of the PIE Environment for Proving, Interpolating and Eliminating on the Basis of First-Order Logiccited by 6
  3. 2014Algorithmic Introduction of Quantified Cutscited by 1

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Citing papers per year: 2022: 2; 2023: 3.

5 papers.