Preprint / scholarly article

Value-Anchored Natural-Law Fronts over Reversible Persistence-First Holographic Systems II

K. Takahashi

Published
DOI
10.5281/zenodo.17712716

Abstract

This preprint develops a value-anchored geometric framework on spaces of natural-law and scaling-law theories rather than proposing a single scaling law. It models distributions over theories with entropy-transport geometry and derives gradient-flow dynamics for selecting theory families under explicit value criteria.

Keywords

  • mathematical model
  • geometry
  • value-anchored natural-law fronts
  • entropy-transport
  • hellinger-kantorovich distance
  • wasserstein gradient flows
  • scaling laws
  • AI
  • compute-optimal AI
  • FBHK geometry

Identifiers and source records