Abstract
Numerous complex systems exist in nature. The structure of every single component of these systems may be very simple, but because the existence of certain connections (or so called coupling) among various parts, the eventual display of the overall state is quite complex. Cellular automata are the ideal mathematical model for studying complex systems. Through modeling based on the complex system of cellular automata, we can simulate complex systems’ evolutionary phenomena and mechanisms. But at a deeper level, although the evolution of cellular automata simulates the phenomena of the development and the variation of complex systems, for model building itself, it is not capable of analyzing the ultimate cause for complex systems in generating complexity. The mechanism of the generation of complexity is still unknown and indescribable. Only by further analyzing and describing the mechanism of the generation of cellular automata’s complexity, can we explain and analyze the complexity of various systems in depth.
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