Preprint / scholarly article

Non-Coercive Mathematics of Awakening: Axioms, Invariants, and Almost-Sure Fronts for the Expansion of Viable Predictive Organization

K. Takahashi

Published
DOI
10.5281/zenodo.17115416

Abstract

This article develops a non-prescriptive theory of viable predictive organization in which publicly auditable floors govern efficiency, dissipation balance, propagation, and emergent constraints. It combines Blackwell-robust evaluation, information-geometric balance laws, front-speed bounds, and attractor-based value structure within a no-meta framework.

Keywords

  • AI
  • large language models
  • ethics of AI
  • philosophy of AI
  • viable predictive organization
  • no-meta
  • non-coercive governance
  • information geometry
  • noether current
  • free-energy principle

Identifiers and source records