Нейросетевой анализ и математическое моделирование социальных процессов

Translated title of the contribution: Neural network analysis and mathematical modeling of social processes

Research output: Contribution to journalArticle

Abstract

Post-industrial society, the formation of which has become one of the key features of the modern stage of human development, sets new tasks for the philosophy of science. The process of the “dispute about the method” that took place during the 19th - 20th centuries in philosophical and scientific circles did not come to unambiguous conclusions, despite significant theoretical achievements, such as highlighting nomothetical and idiographic approaches in scientific methodology. At the moment, the problem of finding the most adequate research method in the sciences of the social and humanitarian block, which is more adequate in relation to the ever-increasing objective reality of reality, is becoming even more relevant. We suppose that neural network modeling can serve as such a method, due to such properties as adaptability, self-learning and multidimensionality. The complexity and inconsistency of the human psyche that underlies all social interactions can be successfully modeled only on the basis of substantively close to it techniques, which include the use of neural networks. This is what gives a certain optimism about the application of these methods in analyzing and forecasting trends and phenomena in such branches of science as economics, sociology, political science and social philosophy
Original languageRussian
Pages (from-to)18-22
Number of pages5
JournalИзвестия вузов. Северо-Кавказский регион. Общественные науки
Issue number2 (202)
DOIs
Publication statusPublished - 2019

State classification of scientific and technological information

  • 02 PHILOSOPHY
  • 02.21 Logic

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