The life evolutionary model is researched and simulated as well as other typical cellular automaton model. Different consequences are simulated with various cell numbers, different initial states and different evolution rules. After results comparison among these methods, the factors impacting stability are analyzed. Results show that the complexity of cellular automaton can provide a simple and visual tool for the theory of complexity science.
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