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June 3, 20260 citationsOpen Access

System of Eternity (SOE): A Non-Terminal Civilizational Governance Framework (V4.4)

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QYQianJun Yu

Key Points

  • The aim is to establish a governance framework that allows civilizations to continuously adapt and improve their institutions without reaching a terminal state.
  • Introduced three layers: Civilizational Conditions, System Architecture, and Civilizational Evolution.
  • Developed a mathematical trust-based dynamic system expressed through a specific equation involving stabilization and recovery components.
  • Identified and resolved five structural gaps through multi-AI audit and simulation programs.
  • Defined the canonical recovery function R(T,t) and stabilized parameter operative ranges.
  • Resolved dual-failure recovery issues with a minimum protected floor κ_min = 0.25.
  • Formalized the stability mapping function g(T) as a piecewise function encompassing four regimes.

Abstract

The System of Eternity (SOE) is a non-terminal civilizational governance framework designed to maintain long-term institutional stability while enabling continuous self-adjustment, upgrade, and peaceful replacement. SOE does not propose a final political system — it proposes a governance architecture in which civilization retains the permanent capacity to improve its institutions without collapse. This document presents SOE V4. 2, comprising three layers: Civilizational Conditions (why new governance structures become necessary), System Architecture (the full SOE design including governance modules, decision systems, stability mechanisms, crisis response, and system evolution), and Civilizational Evolution (long-term survival, adaptation, and development). The Dynamic Architecture (Part IX) formalizes the mathematical core: a trust-based dynamic system expressed as dT/dt = −aD + bI − cC + R (T, t), with formal definitions of the stability mapping function g (T), recovery function R (T, t), and parameter operative ranges derived from simulation programs v12–v26. Five structural gaps identified in a multi-AI audit (April 2026) have been resolved in this version: the canonical recovery function R (T, t) is formally defined; parameter operative ranges are empirically bounded; a dual-failure recovery deadlock is resolved via a simulation-backed protected floor κₘin = 0. 25; a verification paradox under high-disturbance conditions is addressed via cross-component consistency checks; and the stability mapping function g (T) is formally specified as a four-regime piecewise function. SOE is designed as a modular open framework. All components are independently functional and may be cited or recombined without reference to the full document.

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Cite This Study

QianJun Yu (2026) studied this question.

synapsesocial.com/papers/6a1fc5d7dee9eb8c0dce732chttps://doi.org/10.5281/zenodo.20499592
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