Preprint / scholarly article

A Framework for Autonomous Technological Evolution: A Unifying Approach via Variational Free Energy Minimization

K. Takahashi

Published
DOI
10.5281/zenodo.16728870

Full text PDF (Zenodo)

Abstract

This preprint proposes a variational-free-energy framework for autonomous technological evolution in self-improving AI. It unifies performance and computational cost in a single objective and outlines a meta-algorithm for diagnosis, trade-off control, and heuristic optimization across multiple case studies.

Keywords

  • AI
  • variational free energy
  • agi
  • asi
  • self-improving AI
  • autonomous
  • technological
  • evolution

Identifiers and source records