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layout, title, categories, excerpt, header
| layout | title | categories | excerpt | header | ||
|---|---|---|---|---|---|---|
| single | Organism Networks | research audio deep-learning anomalie-detection | Constructing ON from Collaborative Self-Replicators |
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This work delves into the concept of self-replicating neural networks, focusing on how backpropagation facilitates the emergence of complex, self-replicating behaviors.
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By evaluating different network types, the study highlights the natural emergence of robust self-replicators and explores their behavior in artificial chemistry environments.
A significant extension over a previous version, this research offers a deep analysis of fixpoint weight configurations and their attractor basins, advancing the understanding of neural network self-replication.
For more detailed insights, refer to {% cite illium2022constructing %}.