Learning proofs for the classification of nilpotent semigroups

TL;DR

This paper applies machine learning techniques to discover concise proofs for classifying 4-nilpotent semigroups, aiming to reduce proof complexity.

Contribution

It introduces a novel approach using machine learning to find minimal proofs in algebraic classification problems.

Findings

Successfully identified smaller proofs for 4-nilpotent semigroups

Demonstrated machine learning's effectiveness in algebraic proof discovery

Reduced proof size compared to traditional methods

Abstract

Machine learning is applied to find proofs, with smaller or smallest numbers of nodes, for the classification of 4-nilpotent semigroups.