Theory and application of cellular automata for pattern classification
Fundamenta Informaticae - Special issue on cellular automata
Cellular Automata
Theory of Self-Reproducing Automata
Theory of Self-Reproducing Automata
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The cellular automaton (CA) with multiple attractors in its state space creates immense interest to devise solutions for pattern classification, pattern recognition, design of associative memory, query processing, etc. This work characterizes the CAstate space to explore the essential properties of 1-dimensional nonlinear cellular automata with single cycle attractors. The characterization of pseudo-exhaustive bits (PEbits) is done to uniquely identify the attractor set of such a CA. Theoretical framework thus evolved provides means to synthesize a CAfor a given attractor set with specified PEbits.