Understanding Capitalism v10.1 — Coherence Survival Models and Stability Strategies in Post-Understanding Civilizations —

Author: Y. Seo (@momotarou / Japan)Role: Metanist — Human × AI Understanding ArchitectAI Collaboration: AI Understanding SupportORCID iD: https://orcid.org/0009-0005-7669-0612 Abstract This paper extends the Post-Understanding Civilizations framework by introducing Coherence Survival Models, describing adaptive stability strategies required when understanding is no longer self-sustaining. Under conditions of persistent cognitive acceleration, semantic volatility, and interpretive divergence, civilizations must actively preserve coherence to avoid systemic instability. Survival is no longer determined solely by material resources or computational capacity. It depends on coherence management. 1. The Shift from Growth Models to Survival Models Traditional civilizational theories emphasize: Expansion Optimization Efficiency Innovation However, Post-Understanding conditions force a strategic inversion: The central problem becomes coherence survival rather than growth maximization. 2. Defining Coherence Survival Coherence Survival refers to: The sustained ability of a civilization to maintain sufficient interpretive compatibility, cognitive stability, and meaning continuity despite increasing systemic complexity. Without coherence, coordination collapses. 3. Core Instability Drivers Three dominant destabilizers emerge: Cognitive Load Escalation Semantic Drift Acceleration Signal Environment Saturation Each progressively weakens shared understanding structures. 4. Coherence Preservation Strategies Civilizations deploy compensatory mechanisms: Cognitive compression systems Semantic stabilization frameworks Interpretive mediation protocols Signal filtration architectures Coherence becomes an engineered function. 5. Structural Trade-Offs Coherence preservation introduces tensions: ・Stability vs Flexibility・Compression vs Diversity・Speed vs Comprehensibility Excess stabilization risks rigidity. Excess flexibility risks fragmentation. 6. AI as Coherence Regulators AI systems increasingly serve as: Signal reduction layers Interpretive translators Complexity absorbers Yet dependence shifts coherence authority away from human actors. Conclusion In Post-Understanding Civilizations, survival depends on managing coherence as a scarce systemic resource: Civilizations endure not by processing more information, but by remaining interpretable to themselves. ※Series Declaration This work is part of the Acceleration Civilization Model series. The series explores the structural, cognitive, and systemic dynamics emerging under conditions of accelerating technological environments.