Self-Organizing Language
Abstract
We introduce a novel paradigm of emergent local memory. It is a continuous-learning completely-parallel content-addressable memory encoding global order. It demonstrates how local constraints on uncoordinated learning can produce topologically protected memories realizing emergent symbolic order. It is therefore a neuro-symbolic bridge. It further has the ability to produce human language without data, by exploiting its own self-organizing dynamics. It teaches us that words arise as a side-effect of emergent symbolic order, and that human language patterns at all structural levels reflect a universal mechanism of word formation (which is subregular). This work answers essential questions about the existence \& origin of all the human language data.
Cite
@article{arxiv.2506.23293,
title = {Self-Organizing Language},
author = {P. Myles Eugenio and Anthony Beavers},
journal= {arXiv preprint arXiv:2506.23293},
year = {2025}
}
Comments
27 pages, 14 figures; Name changed from "Objective-Free Local Learning and Emergent Language Structure in Thinking Machines"