Preprint / scholarly article

A Computational Framework for Emergent Cognitive Architecture: Foundational Principles for Self-Improving AI Systems

K. Takahashi

Published
DOI
10.5281/zenodo.16734292

Full text PDF (Zenodo)

Abstract

This preprint studies why resource-bounded intelligent systems may develop specific cognitive architectures rather than treating those architectures as arbitrary design choices. It models hierarchical and dual-process cognition, abduction-deduction-induction cycles, and safety limits under variational free-energy and thermodynamic constraints.

Keywords

  • AI
  • agi
  • asi
  • variational free energy
  • self improving AI
  • computational
  • emergent
  • cognitive

Identifiers and source records