Acceleration Civilization Model v1.6 — Coherence Engineering and the Design of Multi-Temporal Systems —

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Authors: Y Seo
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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 the Acceleration Civilization Model by proposing a Coherence Engineering Framework. If acceleration generates cognitive strain and temporal fragmentation, civilizational stability depends on deliberate coherence-preserving design rather than further performance escalation. The framework conceptualizes coherence as a systemic property emerging from synchronization, temporal diversity, and recovery structures. 1. From Analysis to Design Previous iterations of the model identified: Cognitive Asynchrony Temporal Layer Separation Acceleration Pathology Temporal Diversity The present paper addresses the design problem implied by these conditions. The key question becomes: How can coherence be intentionally engineered within multi-temporal technological environments? 2. Defining Coherence Coherence is not equivalent to stability or uniformity. It refers to the sustained compatibility of: Perception Interpretation Decision processes Interaction rhythms across heterogeneous temporal layers. Coherence is relational and emergent. 3. Sources of Coherence Breakdown Acceleration-dominant systems tend to induce: Temporal compression Recovery margin erosion Expectation misalignment Cognitive overload cascades Breakdown emerges from tempo imbalance rather than component failure. 4. Principles of Coherence Engineering Coherence-preserving systems incorporate: (a) Temporal ElasticityAllowing variable cognitive pacing. (b) Recovery BuffersMaintaining reflection and decompression intervals. (c) Synchronization InterfacesAligning human and machine time structures. (d) Tempo DifferentiationPreventing monocultures of urgency. 5. AI Systems within Coherence Architectures AI systems function as acceleration amplifiers. Within coherence-aware design, AI outputs should be modulated through: Response density control Interpretive pacing Context stabilization Optional latency layers Efficiency alone is an insufficient optimization target. 6. Civilizational Implications Technological civilization increasingly operates as a multi-temporal system. Future design paradigms must shift from speed maximization toward coherence optimization. Conclusion Coherence engineering is a foundational requirement for sustainable acceleration regimes. Civilizational resilience depends on synchronization logic, temporal plurality, and cognitive recovery architectures rather than perpetual acceleration. ※ Series Declaration This work is part of the Acceleration Civilization Model series. The series investigates cognitive asynchrony, temporal architecture, and civilizational stability dynamics in accelerated systems.

Fields of Study & Subjects

Humanities and Social Sciences Systems Engineering Methodologies and Applications Cybernetics and Technology in Society

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
14 February 2026
Language
EN