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---
layout: single
title: "Self-Replication in Neural Networks"
categories: research
excerpt: "Introduction of NNs that are able to replicate their own weights."
header:
teaser: assets/figures/1_self_replication_pca_space.jpg
---
![Self-Replication Robustness](\assets\figures\1_self_replication_robustness.jpg){:style="display:block; margin-left:auto; margin-right:auto; width:350px"}
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.
{% cite gabor2019self %}
![Self-replicators in PCA Space (Soup)](\assets\figures\1_self_replication_pca_space.jpg){:style="display:block; margin-left:auto; margin-right:auto"}