cellular automata and computational complexity

Cellular automata are mathematical models that consist of a grid of cells, each of which can be in one of a finite number of states. These models are updated over discrete time steps based on certain rules, which determine how the states of the cells evolve. Computational complexity, on the other hand, studies the amount of resources, such as time or memory, required to solve computational problems. The study of cellular automata and computational complexity explores how the properties of cellular automata systems can be analyzed and how the complexity of computing specific tasks on these systems can be measured.

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