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| Natura: | Recurso digital |
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Zenodo
2025
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| Accesso online: | https://doi.org/10.5281/zenodo.18023285 |
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Sommario:
- <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>