Learning proofs for the classification of nilpotent semigroups
arXiv:2106.03015v1
Originality Synthesis-oriented
AI Analysis
This work addresses a specific mathematical proof-finding problem for researchers in algebra and automated reasoning, but it appears incremental as it builds on existing classification tasks.
The authors tackled the problem of finding proofs for classifying 4-nilpotent semigroups by applying machine learning, resulting in proofs with smaller or smallest numbers of nodes.
Machine learning is applied to find proofs, with smaller or smallest numbers of nodes, for the classification of 4-nilpotent semigroups.