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- W2963278324 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." @default.
- W2963278324 created "2019-07-30" @default.
- W2963278324 creator A5051405465 @default.
- W2963278324 date "2019-01-01" @default.
- W2963278324 modified "2023-10-13" @default.
- W2963278324 title "Convolutional Neural Networks for Cellular Automata Classification" @default.
- W2963278324 doi "https://doi.org/10.1162/isal_a_00175" @default.
- W2963278324 hasPublicationYear "2019" @default.
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