Origin of Intelligence: A Full-Scale Planetary Simulation of Prebiotic Chemistry, Cellular Evolution, Neural Emergence, and Cognitive Threshold Formation
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| Formato: | Recurso digital |
| Lenguaje: | inglés |
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2026
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| _version_ | 1866901742252195840 |
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| author | Lumenis IO PTY LTD |
| author_facet | Lumenis IO PTY LTD |
| contents | <p>This study presents a comprehensive, end-to-end planetary simulation tracing the complete emergence of intelligence — from prebiotic chemistry to protocells, early metabolism, cellular diversification, neural networks, multicellular organization, synaptic architectures, and the first cognitive threshold events.</p> <p>Using a high-resolution global simulation model, the work reconstructs environmental, chemical, evolutionary, and neural pathways across 1.8 billion simulated years. The analysis includes monomer synthesis dynamics, polymerization networks, vesicle formation, replicator fidelity limits, proto-metabolism development, early neural signaling, structural plasticity, network topology evolution, and the emergence of cognition-like behaviors.</p> <p>This is one of the most complete synthetic reconstructions of life-to-intelligence emergence ever produced, offering a unified, multi-scale framework that integrates chemistry, biology, evolution, and early neurodynamics.</p> <p><strong>For collaboration, research enquiries, or institutional access, please contact:</strong><br><strong>Drew Slawson — Lumenis IO</strong><br><strong>Email:</strong> drew.slawson@lumenis.io</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18608072 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Origin of Intelligence: A Full-Scale Planetary Simulation of Prebiotic Chemistry, Cellular Evolution, Neural Emergence, and Cognitive Threshold Formation Lumenis IO PTY LTD life emergence origin of intelligence prebiotic chemistry protocell evolution early metabolism neural network emergence synaptic evolution cognitive threshold planetary biosystem modeling abiogenesis simulation chemical evolution nucleotide synthesis vesicle formation replicator dynamics early nervous systems complexity emergence astrobiology bioevolution origin of cognition systems chemistry <p>This study presents a comprehensive, end-to-end planetary simulation tracing the complete emergence of intelligence — from prebiotic chemistry to protocells, early metabolism, cellular diversification, neural networks, multicellular organization, synaptic architectures, and the first cognitive threshold events.</p> <p>Using a high-resolution global simulation model, the work reconstructs environmental, chemical, evolutionary, and neural pathways across 1.8 billion simulated years. The analysis includes monomer synthesis dynamics, polymerization networks, vesicle formation, replicator fidelity limits, proto-metabolism development, early neural signaling, structural plasticity, network topology evolution, and the emergence of cognition-like behaviors.</p> <p>This is one of the most complete synthetic reconstructions of life-to-intelligence emergence ever produced, offering a unified, multi-scale framework that integrates chemistry, biology, evolution, and early neurodynamics.</p> <p><strong>For collaboration, research enquiries, or institutional access, please contact:</strong><br><strong>Drew Slawson — Lumenis IO</strong><br><strong>Email:</strong> drew.slawson@lumenis.io</p> |
| title | Origin of Intelligence: A Full-Scale Planetary Simulation of Prebiotic Chemistry, Cellular Evolution, Neural Emergence, and Cognitive Threshold Formation |
| topic | life emergence origin of intelligence prebiotic chemistry protocell evolution early metabolism neural network emergence synaptic evolution cognitive threshold planetary biosystem modeling abiogenesis simulation chemical evolution nucleotide synthesis vesicle formation replicator dynamics early nervous systems complexity emergence astrobiology bioevolution origin of cognition systems chemistry |
| url | https://doi.org/10.5281/zenodo.18608072 |