| _version_ | 1866901675802886144 |
|---|---|
| author | Shaub, Jarid Shaub |
| author_facet | Shaub, Jarid Shaub |
| contents | <p>The Universal Coherence Dynamics Model (UCDM) is a cross-domain predictive framework authored by Jarid Shaub in 2025 that unifies collapse and recovery dynamics across physics, neuroscience, artificial intelligence, ecology, and strategic systems .</p> <p>It proposes a single invariant differential law — d /dt = k(ℒᵣ − Ξ₀) — where coherence ( ) rises or collapses depending on the balance between regenerative momentum (ℒᵣ, the Resurrection Loop Index) and entropy pressure (Ξ₀, the Collapse Gate).</p> <p>The constant k ≈ 0.421 remains stable across all tested domains, forming the empirical core of the model .</p> <p>By integrating concepts from quantum decoherence, EEG trauma recovery, ecological resilience, and AI catastrophic forgetting, UCDM bridges silos and provides a falsifiable, operational law for predicting systemic recovery after collapse.</p> <p>Its implications extend to mission-critical resilience engineering, autonomous regeneration, and cross-domain failure-mode forecasting — positioning it as both a scientific unification and a practical predictive tool for real-world complex systems.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18235933 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | UCDM Shaub, Jarid Shaub Coherence dynamics Entropy Cognitive neuroscience Cognitive psychology Systems engineering <p>The Universal Coherence Dynamics Model (UCDM) is a cross-domain predictive framework authored by Jarid Shaub in 2025 that unifies collapse and recovery dynamics across physics, neuroscience, artificial intelligence, ecology, and strategic systems .</p> <p>It proposes a single invariant differential law — d /dt = k(ℒᵣ − Ξ₀) — where coherence ( ) rises or collapses depending on the balance between regenerative momentum (ℒᵣ, the Resurrection Loop Index) and entropy pressure (Ξ₀, the Collapse Gate).</p> <p>The constant k ≈ 0.421 remains stable across all tested domains, forming the empirical core of the model .</p> <p>By integrating concepts from quantum decoherence, EEG trauma recovery, ecological resilience, and AI catastrophic forgetting, UCDM bridges silos and provides a falsifiable, operational law for predicting systemic recovery after collapse.</p> <p>Its implications extend to mission-critical resilience engineering, autonomous regeneration, and cross-domain failure-mode forecasting — positioning it as both a scientific unification and a practical predictive tool for real-world complex systems.</p> |
| title | UCDM |
| topic | Coherence dynamics Entropy Cognitive neuroscience Cognitive psychology Systems engineering |
| url | https://doi.org/10.5281/zenodo.18235933 |