SELF-ORGANIZATION AND EVOLUTION SYSTEM SIMULATION BY THE CONTINUOUS NONSYNCHRONIZING CELLULAR AUTOMATA

Authors

  • Vladimir Zhikharevich
  • Sergey Ostapov

DOI:

https://doi.org/10.47839/ijc.8.3.686

Keywords:

Cellular automata, self-organizing, evolution, modeling, nonlinear dynamics.

Abstract

This paper deals with the modeling of the same systems on the base of nonsynchronizing cellular automata. This approach have been approved for the exponential dependencies, heat transfer, diffusion and wave interference, discrete system, like Conway’s Game of Life, behavior. The modeling of the evolution of the wave-like system also has been carrying out. The proposed method has been modified for the modeling of the evolution processes. This modification consists in algorithm, which taking into account the difference between local interactions rules.

References

Тоффоли Т., Марголус Н. Машины клеточ- ных автоматов. М.: Мир, 1991, 280 с.

Бандман О. Л. Клеточно-автоматные модели пространственной динамики. Системная информатика. Вып. 10. 2005, С. 57-113.

Ванаг В. К. Исследование пространственно распределённых динамических системметодами вероятностного клеточного автомата. Успехи физических наук. Том 169, № 5, 1999, С. 481-505.

Хакен Г. Информация и самоорганизация: Макроскопический подход к сложным системам. М.: Мир, 1991, 240 с.

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Published

2014-08-01

How to Cite

Zhikharevich, V., & Ostapov, S. (2014). SELF-ORGANIZATION AND EVOLUTION SYSTEM SIMULATION BY THE CONTINUOUS NONSYNCHRONIZING CELLULAR AUTOMATA. International Journal of Computing, 8(3), 61-71. https://doi.org/10.47839/ijc.8.3.686

Issue

2009, Volume 8, Issue 3

Section

Articles

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