Peculiarities of Computer Modeling of Thought Dissemination in Society on the Example of Student Society

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 scien...

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Veröffentlicht in:PROBLEMS IN PROGRAMMING
Datum:2022
Heft:4
Сторінки:70-81
ISSN:1727-4907
Автори та афіліації:
  • V.V. Shevchenko — Kiev Taras Shevchenko National University — ORCID: 0000-0002-9457-7454
  • D.S. Berestov — Kiev Taras Shevchenko National University
  • I.P. Sinitsyn — Institute of Software Systems NAS of Ukraine
  • V.Y. Petrivskyi — Kiev Taras Shevchenko National University — ORCID: 0000-0001-9298-8244
Ключові слова:клітинний автомат, науково-освітня модель, система викладач — комп’ютер — студент, рухомі клітинні автомати, система університетської освіти, система управління навчанням, клітинний автомат гра життя, мотивація навчання, cognitive cybernetics, моделювання суспільної думки
Hauptverfasser: Shevchenko, V.V., Berestov, D.S., Sinitsyn, I.P., Petrivskyi, V.Y.
Format: Artikel
Sprache:Ukrainisch
Veröffentlicht: PROBLEMS IN PROGRAMMING 2022
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Online Zugang:https://pp.isofts.kiev.ua/index.php/ojs1/article/view/476
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Назва журналу:Problems in programming
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Problems in programming
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Zusammenfassung: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. 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.Problems in programming 2021; 4: 70-81
ISSN:1727-4907
DOI:10.15407/pp2021.04.070