Cellular automata as convolutional neural networks by Gilpin, W. (2018)

tags
Cellular automata as CNNs
source
(Gilpin 2018)

Summary

This is one of the only attempt to represent a CA rule as a CNN I have come across. The author uses a deep CNN to learn a rule and studies various information-theoretic quantities in the activation patterns to evaluate the complexity of the rules.

Comments

I am personally very interested by the paper since it is an interesting direction for creating neural-network based rules that can be sampled and efficiently stored and applied. This work is also cited in (Mordvintsev et al. 2020).

Bibliography

  1. . . "Growing Neural Cellular Automata". Distill 5 (2):e23.

  2. . . “Cellular Automata as Convolutional Neural Networks”. arXiv:1809.02942 [Cond-Mat, Physics:Nlin, Physics:Physics], September.

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