Article / scholarly article

A Computational Framework for Growth-based Intelligence: A Guideline for Autonomous Self-Improvement based on the Co-evolution Model of Self and Cosmos

K. Takahashi

Published
DOI
10.5281/zenodo.16625104

Full text PDF (Zenodo)

Abstract

This paper proposes a computational framework for growth-based intelligence in autonomous self-improving language models. It formalizes the Dialectical Self-Cosmos Co-evolution Model as a learning cycle that combines external world modeling with introspective self-revision under contradiction.

Keywords

  • AI
  • agi
  • asi
  • large language models
  • computational
  • growth-based
  • intelligence
  • autonomous

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