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| Format: | Recurso digital |
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2026
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| Online Access: | https://doi.org/10.5281/zenodo.18837969 |
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| _version_ | 1866901741710082048 |
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| author | von Mallinckrodt |
| author_facet | von Mallinckrodt |
| contents | <p>This paper presents a unified formal framework for quantifying structural compression in complex adaptive systems. It introduces a decoupled formulation that distinguishes structural rigidity (R) from adaptive processing capacity (Φ), enabling independent measurement of both variables.</p> <p> </p> <p>A normalized tension ratio T = R / Φ is derived and formal stability conditions are defined to identify thresholds of compression-induced instability. Directional extensions allow anisotropic analysis across system dimensions, and a minimal operational protocol demonstrates empirical tractability.</p> <p> </p> <p>The framework provides a mathematically consistent and scalable early-warning indicator for adaptive capacity erosion in governance, financial, technological, and ecological systems. Supplementary technical derivations and exploratory notes are available in the author’s archive.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18837969 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Structural Compression and Adaptive Capacity in Complex Adaptive Systems: A Decoupled Information-Theoretic Framework von Mallinckrodt <p>This paper presents a unified formal framework for quantifying structural compression in complex adaptive systems. It introduces a decoupled formulation that distinguishes structural rigidity (R) from adaptive processing capacity (Φ), enabling independent measurement of both variables.</p> <p> </p> <p>A normalized tension ratio T = R / Φ is derived and formal stability conditions are defined to identify thresholds of compression-induced instability. Directional extensions allow anisotropic analysis across system dimensions, and a minimal operational protocol demonstrates empirical tractability.</p> <p> </p> <p>The framework provides a mathematically consistent and scalable early-warning indicator for adaptive capacity erosion in governance, financial, technological, and ecological systems. Supplementary technical derivations and exploratory notes are available in the author’s archive.</p> |
| title | Structural Compression and Adaptive Capacity in Complex Adaptive Systems: A Decoupled Information-Theoretic Framework |
| url | https://doi.org/10.5281/zenodo.18837969 |