Preprint / scholarly article

Formalizing the Poietic Self: A Rigorous Categorical and Geometric Framework for Self-Improving AI

K. Takahashi

Published
DOI
10.5281/zenodo.16761052

Full text PDF (Zenodo)

Abstract

We address the core challenge of structural invariance in AI—the inability of a system to autonomously rewrite its own foundational architecture—by providing a mathematically rigorous and implementable pathway for recursive self-modification.

Keywords

  • large language models
  • AI
  • agi
  • asi
  • poiesis
  • information geometry
  • active inference
  • free energy principle
  • category theory
  • 1)-category

Identifiers and source records