Self-replicating artificial neural networks give rise to universal evolutionary dynamics.

Abstract excerpt

In evolutionary models, mutations are exogenously introduced by the modeler, rather than endogenously introduced by the replicator itself. We present a new deep-learning based computational model, the self-replicating artificial neural network (SeRANN). We train it to (i) copy its own genotype, like a biological organism, which introduces endogenous spontaneous mutations; and (ii) simultaneously perform a...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Biological Evolution
• Share to Evolution, Molecular
• Share to Genotype