Understanding Capitalism v7.5 — Coherence Governance Limits and Stability Constraints in Complex Cognitive Systems —
Abstract
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 Cognitive Sovereignty Conflicts by introducing the framework of Coherence Governance Limits, examining structural boundaries constraining the capacity of systems to regulate, stabilize, and sustain coherence under conditions of increasing cognitive complexity, signal density, and agent heterogeneity. While governance models often assume controllability through rules, optimization, or authority structures, the proposed framework argues that coherence itself may possess intrinsic governance limits beyond which stabilization mechanisms exhibit diminishing effectiveness. Not all instability is mismanagement. Some instability is structural. 1. Coherence as a Governed Variable Coherence refers to: The capacity of a system to maintain interpretive continuity, decision consistency, and relational stability across interacting agents and signals. Governance attempts to regulate this variable. 2. Governance Expansion Pressures Complex systems face escalating pressures: Signal proliferation Cognitive diversity Optimization conflicts Feedback acceleration Temporal desynchronization Control complexity increases nonlinearly. 3. Defining Coherence Governance Limits Coherence Governance Limits refer to: Structural constraints beyond which coherence stabilization mechanisms cannot fully suppress interpretive divergence, volatility, or fragmentation. Limits are systemic rather than procedural. 4. Sources of Governance Failure Without Error Instability may emerge even when: Rules are consistent Agents are rational Signals are accurate Optimization functions operate correctly Failure may arise from complexity saturation. 5. AI Integration and Governance Stress AI systems amplify governance stress through: Rapid signal generation Continuous adaptation loops Multi-objective optimization Decision velocity escalation Stabilization mechanisms may lag structural dynamics. 6. Stability Implications Exceeding governance limits may generate: Persistent coherence oscillation Control illusion formation Decision instability regimes Coordination entropy Governance becomes probabilistic. Conclusion Coherence Governance Limits reframe instability as an inherent property of complex cognitive systems rather than solely a governance failure. Future stability architectures may require limit-aware designs emphasizing resilience, buffering, and adaptive coherence preservation rather than strict control maximization. ※ Series Declaration This work is part of the Understanding Capitalism series. The series explores value formation, cognitive mediation, and structural transformations of economic perception.
Fields of Study & Subjects
Complex Systems and Dynamics
Complex Systems and Decision Making
Systems Engineering Methodologies and Applications
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 15 February 2026
- Language
- EN