Redundancy-Driven Persistence: A General Framework for Stability and Persistence (Version 1.7)
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2026
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| _version_ | 1866901751695671296 |
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| author | Vreeland, Amanda Danielle |
| author_facet | Vreeland, Amanda Danielle |
| contents | <p>This paper presents a general framework describing how patterns persist under noise through redundancy and coherence. The model defines persistence as a threshold condition and applies across physical, biological, and informational systems.</p> <p> </p> <p>Version 1.7 introduces biological mapping, pathological persistence, system-level control dynamics, and an emergent definition of time based on ordered state transitions.</p> <p> </p> <p>The framework distinguishes between control and eradication as separate processes and proposes that stability arises from the repeated survival of sufficiently reinforced and coherent patterns under continuous perturbation.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19767653 |
| institution | Zenodo |
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| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Redundancy-Driven Persistence: A General Framework for Stability and Persistence (Version 1.7) Vreeland, Amanda Danielle complex systems stability entropy information theory dynamical systems <p>This paper presents a general framework describing how patterns persist under noise through redundancy and coherence. The model defines persistence as a threshold condition and applies across physical, biological, and informational systems.</p> <p> </p> <p>Version 1.7 introduces biological mapping, pathological persistence, system-level control dynamics, and an emergent definition of time based on ordered state transitions.</p> <p> </p> <p>The framework distinguishes between control and eradication as separate processes and proposes that stability arises from the repeated survival of sufficiently reinforced and coherent patterns under continuous perturbation.</p> |
| title | Redundancy-Driven Persistence: A General Framework for Stability and Persistence (Version 1.7) |
| topic | complex systems stability entropy information theory dynamical systems |
| url | https://doi.org/10.5281/zenodo.19767653 |