17 lines
1.0 KiB
Markdown
17 lines
1.0 KiB
Markdown
---
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layout: single
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title: "Organism Networks"
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categories: research audio deep-learning anomalie-detection
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excerpt: "Constructing ON from Collaborative Self-Replicators"
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header:
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teaser: assets/figures/16_on_teaser.jpg
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---
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{:style="display:block; width:65%" .align-center}
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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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{:style="display:block; width:45%" .align-right}
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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.
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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.
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For more detailed insights, refer to {% cite illium2022constructing %}. |