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

C R Biol. 2005 Sep;328(9):783-93. doi: 10.1016/j.crvi.2005.05.005.
[Article in English, French]

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.

MeSH terms

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