cellular automata in pattern recognition

Cellular automata in pattern recognition refer to computational models that use sets of simple rules to simulate the behavior of cells in a grid-like structure. These models are employed to recognize and analyze patterns or structures within input data, enabling the identification of complex patterns and predicting future states based on previous observations.

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