- 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

Gilpin, William. 2018. “Cellular Automata
as Convolutional Neural Networks.” *arXiv:1809.02942 [Cond-Mat,
Physics:Nlin, Physics:Physics]*, September.

Mordvintsev, Alexander, Ettore Randazzo,
Eyvind Niklasson, and Michael Levin. 2020. “Growing Neural Cellular
Automata.” *Distill* 5 (2):e23.