Self-Replication, Spontaneous Mutations, and Exponential Genetic Drift in Neural Cellular Automata
Neural and Evolutionary Computing
2023-05-23 v1 Machine Learning
Populations and Evolution
Abstract
This paper reports on patterns exhibiting self-replication with spontaneous, inheritable mutations and exponential genetic drift in Neural Cellular Automata. Despite the models not being explicitly trained for mutation or inheritability, the descendant patterns exponentially drift away from ancestral patterns, even when the automaton is deterministic. While this is far from being the first instance of evolutionary dynamics in a cellular automaton, it is the first to do so by exploiting the power and convenience of Neural Cellular Automata, arguably increasing the space of variations and the opportunity for Open Ended Evolution.
Keywords
Cite
@article{arxiv.2305.13043,
title = {Self-Replication, Spontaneous Mutations, and Exponential Genetic Drift in Neural Cellular Automata},
author = {Lana Sinapayen},
journal= {arXiv preprint arXiv:2305.13043},
year = {2023}
}