The Latent Space of Equational Theories
Logic in Computer Science
2026-01-29 v1
Abstract
Building on the collaborative Equational Theories project initiated by Terence Tao fifteen months ago, and combining it with ideas coming from machine learning and finite model theory, we construct a latent space of equational theories where each equational theory is located at a specific location, determined by its statistical behavior with respect to a large sample of finite magmas. This experiment enables us to observe for the first time how reasoning flows and produces surprisingly oriented and well-structured chains of logical implications in the latent space of equational theories.
Keywords
Cite
@article{arxiv.2601.20759,
title = {The Latent Space of Equational Theories},
author = {Luis Berlioz and Paul-André Melliès},
journal= {arXiv preprint arXiv:2601.20759},
year = {2026}
}
Comments
12 pages, 9 figures