16 lines
1.1 KiB
Markdown
16 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; margin-left:auto; margin-right:auto; width:350px"}
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The foundation of biological structures is self-replication. Neural networks are the prime structure used for the emergent construction of complex behavior in computers. We analyze how various network types lend themselves to self-replication. We argue that backpropagation is the natural way to navigate the space of network weights and show how it allows non-trivial self-replicators to arise naturally. We then extend the setting to construct an artificial chemistry environment of several neural networks.
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{% cite gabor2019self %}
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