1.1 KiB
1.1 KiB
layout, title, categories, excerpt, header
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single | Self-Replication in Neural Networks | research | Introduction of NNs that are able to replicate their own weights. |
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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. {% cite gabor2019self %}
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