Abstract
Cellular automata display configurations that are constant in time. We implement a stochastic synchronization between the present configurations of the system and its precedent ones in order to search for these constant patterns. For most of the known evolution rules with complex behavior a dynamic competition among all the possible constant patterns is established and no stationary regime is reached. For the particular rule coded by the decimal number 18, a self-synchronization phenomenon can be obtained, even when strong modifications to the synchronization method are applied. © Springer-Verlag Berlin Heidelberg 2000.
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CITATION STYLE
Sánchez, J. R., & López-Ruiz, R. (2006). Self-synchronization of cellular automata: An attempt to control patterns. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3993 LNCS-III, pp. 353–359). Springer Verlag. https://doi.org/10.1007/11758532_48
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