Abstract
Cellular automata and discrete neural networks constitute very simple and general models that seem to capture the fundamental features of a variety of highly complex systems. Their study offers the possibility of obtaining some understanding of the most important and characteristic properties of complex and self-organizing systems, the evolution of which currently appears chaotic, disorganized and beyond the scope of known laws of nature.
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Garzon, M. (1995). Classification. In: Models of Massive Parallelism. Texts in Theoretical Computer Science. An EATCS Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-77905-3_8
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DOI: https://doi.org/10.1007/978-3-642-77905-3_8
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