Preprint / scholarly article

Natural-Law-Type Conditions for Persistent Self-Modifying Systems with Predictive Semantics

K. Takahashi

Published
DOI
10.5281/zenodo.17896036

Full text PDF (Zenodo)

Abstract

Using macroscopic fluctuation theory (MFT), we define a persistence order parameter that quantifies how far a configuration sits above the worst-case collapse barrier in state space, and relate it to a “dead” gradient-flow backbone of the underlying physical dynamics.

Keywords

  • autopoiesis
  • self-modifying systems
  • persistent intelligence
  • macroscopic fluctuation theory
  • persistence order parameter
  • predictive semantics
  • semantic capacity
  • thermodynamic locality
  • non-equilibrium statistical physics
  • emergent intelligence
  • AI alignment
  • no-meta governance

Identifiers and source records