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Генетика социокультурных систем // Genetics of Socio-Cultural Systems

Author

Listed:
  • I. Drogobytskii N.

    (Financial University)

  • И. Дрогобыцкий Н.

    (Финансовый университет)

Abstract

The euphoria of the effectiveness of the methodology of system modelling in the study of nature and synthesis of artificial systems has prompted the scientific community to its large-scale use in the sciences, the subject of which is the human community: economics, sociology, political science, history, philosophy, etc. However, many years of work in this field have not yet led to significant success. It turned out that the systems in which the key role belongs to man — socio-cultural, are fundamentally different from natural and artificial systems, and the methods of their research are not always applicable to their analysis. We need a specific methodology for modelling socio-cultural systems, and therefore the theoretical justification of its applicability. In this article, the author provides an original classification of systemic formations, which allows to clearly divide the whole set of systems into non-intersecting subsets (classes) and to define the limits of the efficacy of the existing arsenal of system modelling. In order to expand it and extend it to the class of socio-cultural systems, the author justified the original approach to the description of system dynamics and proposed an appropriate modelling language. The author proved the analogy in the development of socio-cultural and living systems and substantiated the proposition of the expediency of initiating a new scientific stream in the study of human community activity — genetics of socio-cultural systems. Эйфория от результативности применения методологии системного моделирования в исследовании природы и синтеза искусственных систем подтолкнула научное сообщество к ее масштабному использованию в науках, предметом исследования которых является человеческое сообщество: экономике, социологии, политологии, истории, философии и др. Однако многолетние труды пока не привели к заметным успехам. Оказалось, что системы, в которых ключевая роль принадлежит человеку — социокультурные, в корне отличаются от естественных и искусственных систем, и методы исследования последних не всегда применимы для их анализа. Нужна специфическая методология моделирования социокультурных систем, а следовательно, и теоретическое обоснование ее применимости. В настоящей статье приводится оригинальная классификация системных образований, позволяющая четко разделить все множество систем на непересекающиеся подмножества (классы) и обозначить границы действенности ныне существующего модельного арсенала системного моделирования. С целью его расширения и распространения на класс социокультурных систем обоснован оригинальный подход к описанию системной динамики и предложен соответствующий язык моделирования. Доказана аналогия в развитии социокультурных и живых систем и обосновано предположение о целесообразности инициирования нового научного направления в исследовании активности человеческого сообщества — генетики социокультурных систем.

Suggested Citation

  • I. Drogobytskii N. & И. Дрогобыцкий Н., 2018. "Генетика социокультурных систем // Genetics of Socio-Cultural Systems," Мир новой экономики // The world of new economy, Финансовый университет при Правительстве Российской Федерации // Financial University under The Governtment оf The Russian Federation, vol. 12(3), pages 98-107.
  • Handle: RePEc:scn:wnewec:y:2018:i:3:p:98-107
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    1. Carolina Machado & J. Paulo Davim (ed.), 2016. "Organizational Management," Palgrave Macmillan Books, Palgrave Macmillan, number 978-1-137-47308-0, September.
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