Models, systems, networks in economics, engineering, nature and society
Background. With the increasing digitalization of the Russian economy, understanding the dominant trends in the distribution and protection of information flows in a non-stationary space is gaining theoretical and practical significance. An evolving industrial system immersed in such environments...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Penza State University Publishing House
2024-11-01
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| Series: | Модели, системы, сети в экономике, технике, природе и обществе |
| Subjects: | |
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| Summary: | Background. With the increasing digitalization of the Russian economy, understanding the dominant trends in the distribution and protection of information flows in a
non-stationary space is gaining theoretical and practical significance. An evolving industrial
system immersed in such environments is characterized by highly disturbed processes and
metamorphoses displayed by nonlinear phenomena, measures of chaos and order of its behavior. On this basis, taking into account the discussed phenomena, the article is aimed at
analyzing and ensuring the stability of the industrial system in the face of the impact of both
flows of technological and product innovations of the digitalized economy and geopolitical
and economic threats that aggravate the behavior of the system. Materials and methods. The
theoretical and methodological basis of the study was formed by the doctrines of thermodynamics, statistical physics, nonlinear dynamics, concepts and methods of theories catastrophe, communication and information, cybernetics and synergetics, evolutionary and innovative economics and production management. Results. Using their ideas and analytics, the
concepts of entropy, chaos and the effect of the functioning of the system supported by the
control information coming into it are revealed. Within the framework of information theory,
the influence of signal and noise parameters on information processes in the economy, the
features of their transmission and distortion are characterized. In the context of the statistical
dependence of the effect of the economic system's activity on the control information accumulated in it, the transformation and interpretation of this exponential dependence with
measures of the order of behavior of the industrial system are performed. Nonlinear phenomena of this dependence and the evolution of the industrial system are interpreted in order to
achieve its stable effect. Conclusions. The study complements theoretical ideas about the
factors ensuring the stability of the functioning of modernized industrial systems and argues
for the need for a symbiosis of natural and economic sciences to deepen the analysis and
interpretation of the phenomena of the evolution of chaotic industrial systems in a digitalized
economy. |
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| ISSN: | 2227-8486 |