Essay
Version 1
Preserved in Portico This version is not peer-reviewed
Neural Networks through the Lens of Evolutionary Dynamics
Version 1
: Received: 6 April 2024 / Approved: 8 April 2024 / Online: 8 April 2024 (06:11:15 CEST)
How to cite: Baciu, D. C. Neural Networks through the Lens of Evolutionary Dynamics. Preprints 2024, 2024040506. https://doi.org/10.20944/preprints202404.0506.v1 Baciu, D. C. Neural Networks through the Lens of Evolutionary Dynamics. Preprints 2024, 2024040506. https://doi.org/10.20944/preprints202404.0506.v1
Abstract
In this essay, I revisit Neural Networks (NNs) through the lens of evolutionary dynamics. From the two most important features of NNs, I recover the two most general equations of evolutionary dynamics. These two equations may thus serve as a connection between NNs and a body of knowledge that has been built over multiple centuries and has found application across a vast range of disciplines. This connection may therefore also help explain why NNs with the two features in question are applicable across a much broader range of domains than initially envisioned.
Keywords
Evolutionary dynamics; Neural Networks; Self-attention ; Variation-selection; Frequency Dependent Selection
Subject
Computer Science and Mathematics, Applied Mathematics
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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