Будь ласка, використовуйте цей ідентифікатор, щоб цитувати або посилатися на цей матеріал: http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/3609
Назва: Modeling of cognitive process using complexity theory methods
Автори: Соловйов, Володимир Миколайович
Моісеєнко, Наталя Володимирівна
Тарасова, Олена Юріївна
Ключові слова: cognitive systems
complex systems
complex networks
synergetics
degree of complexity
new pedagogical technologies
Дата публікації: 2019
Видавництво: Vadim Ermolayev, Frédéric Mallet, Vitaliy Yakovyna, Vyacheslav Kharchenko, Vitaliy Kobets, Artur Korniłowicz, Hennadiy Kravtsov, Mykola Nikitchenko, Serhiy Semerikov, Aleksander Spivakovsky
Бібліографічний опис: Soloviev V. Modeling of cognitive process using complexity theory methods [Electronic resource] / Vladimir Soloviev, Natalia Moiseienko, Olena Tarasova // ICTERI 2019: ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer : Proceedings of the 15th International Conference on ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer. Volume II: Workshops. Kherson, Ukraine, June 12-15, 2019 / Edited by : Vadim Ermolayev, Frédéric Mallet, Vitaliy Yakovyna, Vyacheslav Kharchenko, Vitaliy Kobets, Artur Korniłowicz, Hennadiy Kravtsov, Mykola Nikitchenko, Serhiy Semerikov, Aleksander Spivakovsky. – (CEUR Workshop Proceedings, Vol. 2393). – P. 905-918. – Access mode : http://ceur-ws.org/Vol-2393/paper_356.pdf
Короткий огляд (реферат): The features of modeling of the cognitive component of social and humanitarian systems have been considered. An example of using multiscale, multifractal and network complexity measures has shown that these and other synergetic models and methods allow us to correctly describe the quantitative differences of cognitive systems. The cognitive process is proposed to be regarded as a separate implementation of an individual cognitive trajectory, which can be represented as a time series and to investigate its static and dynamic features by the methods of complexity theory. Prognostic possibilities of the complex systems theory will allow to correct the corresponding pedagogical technologies.
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URI (Уніфікований ідентифікатор ресурсу): http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/3609
https://doi.org/10.31812/123456789/3609
ISSN: 1613-0073
Розташовується у зібраннях:Кафедра інформатики та прикладної математики

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