MODELING OF DYNAMIC PROCESS BY MEANS OF CELLULAR AUTOMATA

Abstract

of cellular automata in various fields of science is provided by their configuration flexibility and computational versatility. By varying various parameters, it is possible to obtain a cellular automaton of the required configuration. The work is devoted to the development of algorithms for constructing a three-dimensional cellular automaton for modeling the process of system evolution. To study the dynamic process, it is necessary to develop a software application that provides the creation of cellular automata of varying complexity. A wide range of applications of automata also imposes additional requirements for software and improvement of the solution of existing problems.
Evolutionary models use the characteristics of Darwinian theory to build intelligent systems (group accounting methods, genetic methods). Such cellular automata belong to the field of artificial intelligence - computational intelligence.
The basic schemes and algorithms for modeling dynamic systems based on the games "Life" and "Predator-Prey" are considered and improved. The proposed modifications of algorithms allow predicting local variable connections between cells, the intensity of which can be regulated by activity
coefficients.
The modeling of evolutionary processes in systems was carried out for the following reasons: systems that have the ability to self-organization and evolution, as is known, should be, first of all, open. This leads to the random "emergence" of particles with new properties that must be predicted. For example, a global rule of interactions, the same for all cells of the field, may contain a function of particle movement, but if the corresponding activity coefficient of some cell takes a zero value, the particle is motionless. Variability of local rules of interactions may consist, for example, in chaotic
change of activity coefficients of cells.
Keywords: modeling of evolution process, dynamic process, cellular automata, game "Life", game "predator-prey".

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Published
2023-05-22
How to Cite
Zalevska, O., Ladohubets, T., Miroshnychenko, I., Vorobyov, O., Zakharkin, M., & Ni, X. (2023). MODELING OF DYNAMIC PROCESS BY MEANS OF CELLULAR AUTOMATA. Modern Problems of Modeling, (24), 63-70. https://doi.org/10.33842/2313-125X-2022-24-63-70