Governance_Control
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Zenodo
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| Format: | Recurso digital |
| Sprache: | Englisch |
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Zenodo
2026
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| _version_ | 1866901700430790656 |
|---|---|
| author | Seol, Bin |
| author_facet | Seol, Bin |
| contents | <p>This paper formalizes the operational control layer of the Deficit-Fractal Governance (DFG) framework for adaptive multi-agent systems operating near criticality. We introduce a governance state representation, threshold-based intervention control laws, and a minimum-intervention protocol designed to reduce controller activity over time while preserving system stability. A key contribution is the formal identification of the Dependency Trap, in which excessive intervention degrades self-correction capacity and produces post-withdrawal fragility. The framework establishes operational conditions under which governance disengagement remains safe, linking instability measurement, control action, and withdrawal stability within a unified feedback architecture.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18754316 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Governance_Control Seol, Bin system stability multi-agent systems feedback control minimum intervention controller disengagement self-organized criticality governance systems adaptive control <p>This paper formalizes the operational control layer of the Deficit-Fractal Governance (DFG) framework for adaptive multi-agent systems operating near criticality. We introduce a governance state representation, threshold-based intervention control laws, and a minimum-intervention protocol designed to reduce controller activity over time while preserving system stability. A key contribution is the formal identification of the Dependency Trap, in which excessive intervention degrades self-correction capacity and produces post-withdrawal fragility. The framework establishes operational conditions under which governance disengagement remains safe, linking instability measurement, control action, and withdrawal stability within a unified feedback architecture.</p> |
| title | Governance_Control |
| topic | system stability multi-agent systems feedback control minimum intervention controller disengagement self-organized criticality governance systems adaptive control |
| url | https://doi.org/10.5281/zenodo.18754316 |