PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 10, 20260 citationsOpen Access

A Simulation-Constrained Dynamic Architecture for Governance Stability: The System of Eternity

View Full Paper
QYQianJun Yu

Key Points

  • This paper aims to develop a governance stability architecture that models institutional trust and its dynamics under various disturbances.
  • Utilized a simulation-constrained approach to evaluate the governance architecture.
  • Conducted over 400 simulation runs across four different topology families.
  • Identified eleven open calibration parameters for the model.
  • Star topology failed under tested conditions; federation topology demonstrated stability with monitoring.
  • A minimum of three hub nodes is necessary to escape star failure dynamics.
  • Stress detection was found to be topology-specific.

Abstract

Preprint of a simulation-constrained governance stability architecture. SOE models institutional trust as a continuous variable evolving under disturbance, identity, cognitive distortion, and recovery dynamics. Nine interdependent components specify trust dynamics, disturbance buffering, stability locking, structural support, governance coupling, and meta-governance triggering. Evaluated through 400+ simulation runs across four topology families. Key findings: star topology is disallowed under tested conditions; federation topology is safe under tested conditions with topology-conditioned monitoring; minimum three hub nodes required for structural escape from star failure dynamics; stress detection is topology-specific. Four explicit architectural assumptions with failure modes. Eleven open calibration parameters identified. Intended for citation, critique, and extension.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

QianJun Yu (2026) studied this question.

synapsesocial.com/papers/6a0021fec8f74e3340f9cfb6https://doi.org/10.5281/zenodo.20078263
Ask AI
Helpful
Bookmark
Share
View Full Paper