Emergence of complex patterns induced by dynamic systems implemented in dynamic structures (DS)2.

Jacques-Deric Rouault

doi:10.1016/j.crvi.2005.05.005

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Emergence of complex patterns induced by dynamic systems implemented in dynamic structures (DS)2.

Jacques-Deric Rouault

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Abstract

We present the evolution of the simple system of Meinhardt implemented in both static or dynamic two-dimensional structures of almost-squared cells. In a static structure of 8 x 4=32 to 128 x 128=16384 cells, the pattern observed is periodic. An algorithm allows us to divide the cells following the greater size, and to define a dynamic structure. The implementation of the same Meinhardt system in this dynamic structure varying from 32 to 16 384 cells and a context of the same genotypic complexity for the model provides aperiodic patterns, with a higher phenotypic complexity than those observed in static structures, while the number of computations is comparable. We define that emergence occurs each time the ratio of phenotypic/genotypic complexities increases.

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Algorithms Artificial Intelligence Genotype Kinetics Models, Genetic Neural Networks, Computer Nonlinear Dynamics Pattern Recognition, Automated Phenotype Journal Article

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BibTeX RIS

Jacques-Deric Rouault. 2005. Emergence of complex patterns induced by dynamic systems implemented in dynamic structures (DS)2.. https://doi.org/10.1016/j.crvi.2005.05.005

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