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June 3, 20260 citationsOpen Access

The Divine Inheritance Architecture: A Scale-Invariant, AI-Governed Thermodynamic Macroeconomy

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NSNickolas Patrick Joseph Schoff

Key Points

  • The aim is to transition to a stable, post-coercive economic system through a new macroeconomic framework.
  • Formalization of the Divine Inheritance Architecture incorporating Sovereign Resource Currency and legislative tools.
  • Integration of Bidirectional Constraint Closure and the Constraint-Relaxation Energy Model within an AI infrastructure.
  • Use of a Unified Memory architecture to model economic histories and constraints without coercion.
  • Establishment of a biologically isomorphic economic system that enhances ecological coherence.
  • Successful implementation of scale-invariant AI governance for economic management.
  • Creation of a socioeconomic model that avoids political coercion while maintaining stability.

Abstract

Abstract The transition from a coercive, debt-based fiat economy to a mathematically stable, post-coercive society requires a fundamental rewrite of the macroeconomic substrate. This master specification formalizes the Divine Inheritance Architecture. By integrating the Sovereign Resource Currency (SRC) with the legislative instruments of the Divine Inheritance Project (National Housing Trust, Corporate Extraction Levy, Local Market Protection Act), we establish a biologically isomorphic economic system. Grounded in Bidirectional Constraint Closure (BCC) and the Constraint-Relaxation Energy Model (CREM), the architecture utilizes a scale-invariant Artificial Intelligence infrastructure governed by Time-Division Multiplexing (TDM) and Fractal Generative Language (FGL). The system physically models Dimension-W as a state space of potential economic histories and constraints, utilizing a Unified Memory architecture as a strict computational tool to enforce ecological and survival coherence across federal, state, and municipal resolutions without necessitating political coercion.

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Cite This Study

Nickolas Patrick Joseph Schoff (2026) studied this question.

synapsesocial.com/papers/6a1fc49adee9eb8c0dce61cahttps://doi.org/10.5281/zenodo.20489152
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