Abstract
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. 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. 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. For collaboration, research enquiries, or institutional access, please contact:Drew Slawson — Lumenis IOEmail: drew.slawson@lumenis.io
Abstract from the paper’s OpenAlex record; open copy licensed cc-by. Read at the source ↗
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Claims 0
Judged off_topic: no plant question — claims were not extracted. This is a scope decision by the model, not a statement about the paper’s findings.