Identification Of Cellular Automata
Cellular automata (CAs) have many desirable features for a large class of parallel computations. Some success in terms of their effective use has been reported in areas such as fluid dynamics and crystal growth. Other areas where they have high potential, but little work has yet been reported, include forecasting and spatio-temporal noise reduction. This book first sets out the known and proposes the new classes of cellular automata. Numerous examples are included for ease of understanding. It then deals with the designs of algorithms for cellular automata identification. Conceptual questions of automata theory are next addressed and the focus is shifted from synthesis to analysis and from prognostication to accurate factorization. Finally the author discusses a number of naturally occurring specific instances with a view to expanding and transforming current ideas on cellular automata practice.
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