Preprint / scholarly article
A Unified Framework for Self-Organizing Intelligence: A Synthesis of Computational Autopoiesis, Category Theory, and Active Inference
- Published
- DOI
- 10.5281/zenodo.16420862
Abstract
This paper synthesizes computational autopoiesis, category theory, and active inference into a framework for autonomous AI. It reframes system viability, knowledge composition, and iterative abstraction as mutually supporting components of a self-organizing architecture.
Keywords
- AI
- autopoiesis
- self-organizing systems
- category theory
- free energy principle
- active inference
- symbol grounding
- large language models
- agi
- asi