Silverman, E. (2019) Convolutional Neural Networks for Cellular Automata Classification. In: 2019 Conference on Artificial Life (ALIFE 2019), Newcastle, UK, 29 July - 02 Aug 2019, pp. 280-281. (doi: 10.1162/isal_a_00175)
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Abstract
Wolfram famously developed a four-way classification of CA behaviour, with Class IV containing CAs that generate complex, localised structures. However, finding Class IV rules is far from straightforward, and can require extensive, time-consuming searches. This work presents a Convolutional Neural Network (CNN) that was trained on visual examples of CA behaviour, and learned to classify CA images with a high degree of accuracy. I propose that a refinement of this system could serve as a useful aid to CA research, automatically identifying possible candidates for Class IV behaviour and universality, and significantly reducing the time required to find interesting CA rules.
| Item Type: | Conference Proceedings |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Silverman, Dr Eric |
| Authors: | Silverman, E. |
| College/School: | College of Medical Veterinary and Life Sciences > School of Health & Wellbeing > MRC/CSO SPHSU |
| Publisher: | MIT Press |
| Published Online: | 15 July 2019 |
| Copyright Holders: | Copyright © 2019 Massachusetts Institute of Technology |
| Publisher Policy: | Reproduced under a Creative Commons License |
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