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Classifying the Complexity and Information of Cellular Automata

Cellular automata (CA) can be classified according to the complexity and information produced by the behavior of the CA pattern:
Class 1: Fixed; all cells converge to a constant black or white set
Class 2: Periodic; repeats the same pattern, like a loop
Class 3: Chaotic; pseudo-random
Class 4: Complex local structures; exhibits behaviors of both class 2 and
class 3; likely to support universal computation
From the set of possible elementary CA rules, three rules were previously (manually) selected as examples for patterns of CA classes, with random initial condition.

Inspired by:
CA classification by S. Wolfram and parameter by C. Langton.
G. W. Flake, The Computational Beauty of Nature: Computer Explorations of Fractals, Chaos, Complex Systems, and Adaptation, Cambridge, MA: MIT Press, 1998.
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