Abstract
The paper considers methods of mathematical modeling based on the use of the theory of cellular automata as the main tool for modeling the processes of public opinion formation. As the object of modeling was chosen social behavior in the context of the acceptance of educational material in the science-centered approach in education. The theory of cellular automata was chosen as a modeling tool because it is a relatively simple and at the same time effective method for modeling the interaction of single-type objects. The developed basic cellular automata of the model has extended rules of determination of cell state and determination of cell vicinity. It has also been derived the dependence of the information perception coefficient on the difference between the state of the cell and its surroundings. These improvements allow the model to be used to predict changes in social group preferences. At the same time, the model was implemented in two programming languages Python and MatLab, which allows to choose the simulation environment when the peculiarities of the problem statement change.
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Shevchenko, V., Berestov, D., Sinitsyn, I., Brazhenenko, M. (2022). Models of Social Behavior of Learning Material Acceptance in Science-Centered Approach in Education. In: Shkarlet, S., et al. Mathematical Modeling and Simulation of Systems. MODS 2021. Lecture Notes in Networks and Systems, vol 344. Springer, Cham. https://doi.org/10.1007/978-3-030-89902-8_25
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DOI: https://doi.org/10.1007/978-3-030-89902-8_25
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