Concept to recognize crisis of organizational and institutional separation by Artificial Intelligence System

Keywords: Artificial Intelligence, classification of crises, crisis; economy, machine reasoning, organizational and institutional separation.


The sphere of anti-crisis management is highlighted in relation to the open variety of organizational and institutional separations that are typical for the higher forms of industrial and post-industrial economies. This article shows the typicity and relevance of critical management situations associated with the emergence of crises. Furthermore, it justifies the objective orientation to a dense (not sparse) stream of crisis situations requiring identification, ranking, and classification. A strict management interpretation of the separation crisis is given through an assessment of the nature of the dynamics of the separation state indexes. Also, the document presents a generalized typological classification of crises. This article shows the necessity of using a high-level Artificial Intelligence System for this purpose, an indispensable component of which is the classification component.


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Author Biographies

Oleg N. Dmitriev, Moscow Aviation Institute (National Research University), Moscow, Russia.

Doctor in Economic Sciences, PhD in Engineering Sciences, Professor, Moscow Aviation Institute (National Research University), Moscow, Russia.

Veronika A. Zolotova, Moscow Aviation Institute (National Research University), Moscow, Russia.

Senior Lecturer, Moscow Aviation Institute (National Research University), Moscow, Russia.


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How to Cite
Dmitriev, O. N., & Zolotova, V. A. (2021). Concept to recognize crisis of organizational and institutional separation by Artificial Intelligence System. Amazonia Investiga, 10(43), 59-71.