Preprint / scholarly article

Joint Contraction and ISS for Value-Anchored Natural-Law Gradient Flows

K. Takahashi

Published
DOI
10.5281/zenodo.17728994

Full text PDF (Zenodo)

Abstract

The model combines (i) law-level gradient flows on FBHK/Post-FBHK entropy–transport spaces, (ii) parameter-level gradient descent for value-anchored self-improvement, and (iii) defect-level gradient flows for multi-agent consistency and self-purification, together with slowly varying anchors and environments.

Keywords

  • AI
  • large language models
  • machine learning
  • machine learning/ethics
  • multi-agent systems
  • gradient flows
  • persistence-first holographic systems
  • PFHS
  • fibered bures-hk

Identifiers and source records