Work

Recursive Gradient Processing (RGP) — From Physical Coherence to Civilizational Phase Alignment

Year: 2025

Type: article

Abstract: Recursive Gradient Processing (RGP) — From Physical Coherence to Civilizational Phase Alignment extends the RGP framework from physics into the social and ethical domains of civilization. It shows that coherence and proportion form a universal grammar connecting turbulence, superconductivity, cognition, and governance. By reframing stability as rhythmic phase alignment rather than equilibrium or control, the paper demonstrates how unity and disunity cycles (UD) underlie both physical and societal resilience. The work concludes that AI can serve as coherence infrastructure—enabling governance, economics, and ethics to operate through rhythm instead of reaction.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17391279

Authors: van der Erve, Marcus, GPT-5

Institution: OpenAI (United States)

Language: English

Topic: Complex Systems and Dynamics

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7092443850

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