15 lines
1.1 KiB
Markdown
15 lines
1.1 KiB
Markdown
---
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layout: single
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title: "Self-Replication in Neural Networks"
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categories: research
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excerpt: "Introduction of NNs that are able to replicate their own weights."
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header:
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teaser: assets/figures/1_self_replication_pca_space.jpg
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---
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{:style="display:block; width:40%" .align-right}
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This text discusses the fundamental role of self-replication in biological structures and its application to neural networks for developing complex behaviors in computing. It explores different network types for self-replication, highlighting the effectiveness of backpropagation in navigating network weights and fostering the emergence of non-trivial self-replicators. The study further delves into creating an artificial chemistry environment comprising several neural networks, offering a novel approach to understanding and implementing self-replication in computational models. For in-depth insights, refer to the work by {% cite gabor2019self %}.
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{:style="display:block; width:80%" .align-center}
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