[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.

[theGnuMe]

Wolfram talks about mobile automata.. This is where you calculate one cell at a time.

https://en.wikipedia.org/wiki/Mobile_automaton and https://www.wolframscience.com/nks/p71--mobile-automata/

I'm confused as to how you actually train a cellular automaton? How does one do it? Is it just rule search to match a pattern at time t given input state from time t-1 (and repeated?).. it seems like you'd have a bunch of boolean equations and then look for and extract its solutions.