Operational Coherence: Applying the N1 Operator to Physical, Computational, and Neural Systems
Fuente:
Zenodo
Salvato in:
| Autore principale: | |
|---|---|
| Natura: | Recurso digital |
| Lingua: | inglese |
| Pubblicazione: |
Zenodo
2025
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866901660741140480 |
|---|---|
| author | Bresciano, Claudio |
| author_facet | Bresciano, Claudio |
| contents | <p>This paper introduces N1 as an operational negentropy-export operator applicable to physical, computational, biological, and social systems. Unlike classical entropy, which quantifies disorder, N1 measures the real-time capacity of a system to export incoherence (Aleph) fast enough to maintain structural stability. We demonstrate how N1 predicts observable behaviors in GPUs, information-processing machines, neural systems under metabolic load, and engineered control systems. The core claim is that coherence is not a metaphysical property but a measurable operational variable governed by the rate at which a system removes accumulated incoherence. N1 thus unifies Landauer-style information dissipation, Prigogine’s dissipative structures, and cognitive load theory into a single framework with predictive power. The operator N1 allows coherent modeling of downclock events in GPUs, burnout in neural circuits, stability thresholds in engineered systems, and collapse conditions in social structures. This establishes N1 as a practical tool for analyzing real systems rather than a purely formal construct.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17917232 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Operational Coherence: Applying the N1 Operator to Physical, Computational, and Neural Systems Bresciano, Claudio N1 Operator Operational Coherence Negentropy Export Aleph (ℵ) GPU Throttling Neural Systems Landauer Principle Prigogine Structures Systems Stability TNA <p>This paper introduces N1 as an operational negentropy-export operator applicable to physical, computational, biological, and social systems. Unlike classical entropy, which quantifies disorder, N1 measures the real-time capacity of a system to export incoherence (Aleph) fast enough to maintain structural stability. We demonstrate how N1 predicts observable behaviors in GPUs, information-processing machines, neural systems under metabolic load, and engineered control systems. The core claim is that coherence is not a metaphysical property but a measurable operational variable governed by the rate at which a system removes accumulated incoherence. N1 thus unifies Landauer-style information dissipation, Prigogine’s dissipative structures, and cognitive load theory into a single framework with predictive power. The operator N1 allows coherent modeling of downclock events in GPUs, burnout in neural circuits, stability thresholds in engineered systems, and collapse conditions in social structures. This establishes N1 as a practical tool for analyzing real systems rather than a purely formal construct.</p> |
| title | Operational Coherence: Applying the N1 Operator to Physical, Computational, and Neural Systems |
| topic | N1 Operator Operational Coherence Negentropy Export Aleph (ℵ) GPU Throttling Neural Systems Landauer Principle Prigogine Structures Systems Stability TNA |
| url | https://doi.org/10.5281/zenodo.17917232 |