Rostov-na-Donu, Rostov-on-Don, Russian Federation
Russian Federation
Russian Federation
Russian Federation
VAK Russia 2.3.4
UDC 004.93
UDC 622
UDC 004.8
CSCSTI 28.23
Russian Classification of Professions by Education 09.00.00
Russian Library and Bibliographic Classification 1
Russian Trade and Bibliographic Classification 51
BISAC COM014000 Computer Science
BISAC COM044000 Neural Networks
BISAC COM079000 Social Aspects
This publication presents the results of a review of theoretical concepts and practical approaches for designing complex analytical recommendation systems based on artificial intelligence (AI) algorithms that use biometric data and indicators of mental and physical condition as reliable predictors of professional success. The relevance of the research is determined by the need to minimize personnel risks, reduce the level of professional burnout and ensure maximum synergy between the cognitive potential of a person and the requirements of a particular profession. The monograph is intended for researchers and teachers, graduate students, undergraduates, and engineers specializing in artificial intelligence.
Artificial intelligence, "digital twin", professional orientation, neurodynamic properties of the nervous system, psychophysical profile, labor market, Industry 4.0, human capital, labor resources, digital transformation
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