THEORETICAL ASPECTS OF DIAGNOSTICS AND SELF-REGULATION OF PSYCHOEMOTIONAL STATES OF PERSONALITY

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Kristina Sergeevna Ivashko
Junior Researcher
Institute of Artificial Intelligence Problems, Donetsk, Russian Federation.
Research interests: cognitive research and automated diagnostic systems.

Izosimova Snezhana Aleksandrovna
Junior Researcher
Institute of Artificial Intelligence Problems, Donetsk, Russian Federation.
Research interests: cognitive research and automated diagnostic systems.

Piguz Valentina Nikolaevna
Head of Department of Computer and Information Technology
Institute of Artificial Intelligence Problems, Donetsk, Russian Federation.
Research interests: cognitive research and automated diagnostic systems.

Kovaleva Ksenia Vitalievna
Junior Researcher
Institute of Artificial Intelligence Problems, Donetsk, Russian Federation.
Research interests: cognitive research and automated diagnostic systems.

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UDC 004:159. 923.5
DOI 10.24412/2413-7383-58-67
Language: Russian
Annotation: The article analyzes the existing methods in the diagnosis of psychoemotional states, considers various drug-free approaches to improve self-regulation, such as psychotherapy, meditation and relaxation techniques, as well as the theoretical basis, features and possibilities of application of these methods in everyday life. The factors influencing the effectiveness of these methods, including individual personality characteristics, the influence of stress and social environment, are determined. Theoretical analysis of scientific literature is carried out, empirical data are systematized and generalized.
Keywords: self-regulation of psychoemotional states of personality, research of theoretical aspects of diagnostics, cognitive reappraisal and behavioral activation

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Release: 1(36)'2025
Chapter: SYSTEM ANALYSIS, INFORMATION MANAGEMENT AND PROCESSING, STATISTICS
How to quote: K. S. Ivashko, S. A. Izosimova, V. N. Piguz, К. V. Kovaleva. THEORETICAL ASPECTS OF DIAGNOSTICS AND SELF-REGULATION OF PSYCHOEMOTIONAL STATES OF PERSONALITY // Problems of artificial intelligence. 2025. №1.

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