Abstract

The probabilistic approach to deterministic cellular automata (CA) provides the possibility of understanding the properties of distribution of neighbourhoods in final patterns of CA systems exactly. Calculations made allow to find out not only qualitative but also quantitative explanation to the CA long time behaviour. They also give arguments for the dynamical classification of deterministic CA.

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