Flow Intelligence Theory
Fuente:
Zenodo
Guardado en:
| Autor principal: | |
|---|---|
| Formato: | Recurso digital |
| Publicado: |
Zenodo
2025
|
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866901097492250624 |
|---|---|
| author | Yerzhan, Orymbetov |
| author_facet | Yerzhan, Orymbetov |
| contents | <p>The Flow–Intelligence Theory introduces a unified model in which intelligence—<br>biological, artificial, collective, or cosmic—emerges as a property of flow.<br>In this framework, cognition, decision-making, learning, adaptation,<br>memory, creativity, and evolution are not fixed mechanisms but dynamic<br>responses of systems to changing flow environments.</p> <p>The theory expands the Flow Physics Architecture by showing that<br>information, reasoning, and consciousness depend on the flow coefficient (S),<br>which shapes the speed, density, and structure of cognitive processes.<br>As S changes, the complexity, adaptability, and “depth” of intelligence also change.</p> <p>The theory defines:<br>• flow-based cognition <br>• flow-based memory structures <br>• flow decision dynamics <br>• multi-scale intelligence (cells → organisms → civilizations → galaxies) <br>• flow constraints on evolution of mind <br>• superlight (S > 1) intelligence regimes <br>• collapse regimes (S < 1) <br>• and the transition from biological to cosmic intelligence.</p> <p>Flow Intelligence unifies physics, biology, evolution, computation,<br>and philosophy under a single principle:<br>intelligence is not a substance—it is a dynamic state of flow.</p> <p>This work completes the top layer of the 21-volume Flow Architecture System.<br>by Yerzhan Orymbetov</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18023285 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Flow Intelligence Theory Yerzhan, Orymbetov <p>The Flow–Intelligence Theory introduces a unified model in which intelligence—<br>biological, artificial, collective, or cosmic—emerges as a property of flow.<br>In this framework, cognition, decision-making, learning, adaptation,<br>memory, creativity, and evolution are not fixed mechanisms but dynamic<br>responses of systems to changing flow environments.</p> <p>The theory expands the Flow Physics Architecture by showing that<br>information, reasoning, and consciousness depend on the flow coefficient (S),<br>which shapes the speed, density, and structure of cognitive processes.<br>As S changes, the complexity, adaptability, and “depth” of intelligence also change.</p> <p>The theory defines:<br>• flow-based cognition <br>• flow-based memory structures <br>• flow decision dynamics <br>• multi-scale intelligence (cells → organisms → civilizations → galaxies) <br>• flow constraints on evolution of mind <br>• superlight (S > 1) intelligence regimes <br>• collapse regimes (S < 1) <br>• and the transition from biological to cosmic intelligence.</p> <p>Flow Intelligence unifies physics, biology, evolution, computation,<br>and philosophy under a single principle:<br>intelligence is not a substance—it is a dynamic state of flow.</p> <p>This work completes the top layer of the 21-volume Flow Architecture System.<br>by Yerzhan Orymbetov</p> |
| title | Flow Intelligence Theory |
| url | https://doi.org/10.5281/zenodo.18023285 |