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Comment by bestatsiege_01

My hypothesis is that CA's could have input and output cells, then just run the CA, pass a single or continuous input and then parse the outputs when available.

But - I haven't been able to get such a concept to work. I maybe missing some fundamental theory / understand which prevents such a structure (or at least limits is value).

One major challenge is how do you train an unconstrained process?

Ill take a look at Neural CA's. thanks for sharing.

Thanks for sharing Neural CA's. I'll spend some time on them, much easier to train a DNN.

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