| Issue |
E3S Web Conf.
Volume 376, 2023
International Scientific and Practical Conference “Environmental Risks and Safety in Mechanical Engineering” (ERSME-2023)
|
|
|---|---|---|
| Article Number | 05013 | |
| Number of page(s) | 7 | |
| Section | V Socio-cultural, Political, Economic, and Legal Issues Related to Environmental Stewardship | |
| DOI | https://doi.org/10.1051/e3sconf/202337605013 | |
| Published online | 31 March 2023 | |
Models and algorithms for human capital reproduction intellectual analysis
1 Marine Hydrophysical Institute, Russian Academy of Sciences, 2, Kapitanskaya str., 299011 Sevastopol, Russia
2 Reshetnev Siberian State University of Science and Technology, 31, Krasnoiarskii Rabochii prospekt, 660037 Krasnoyarsk, Russia
3 Expert and Analytical Center, 33, Talalikhina str., 109316 Moscow, Russia
4 Institute of Astronomy of the Russian Academy of Sciences, 48, Pyatnitskaya str., 119017 Moscow, Russia
5 Federal Research Center “Computer Science and Control” of Russian Academy of Sciences, 40, Vavilov str., 119333 Moscow, Russia
* Corresponding author: kartsan2003@mail.ru
The managerial decisions making tasks in human capital reproduction complex systems are solved on the basis of models built on experimental data. It is problematic to take into account all the factors affecting the human capital reproduction. Existing approaches are not focused on building models for the human capital reproduction with incomplete information. Algorithms for inductive modeling are developed for the human capital reproduction systems characteristics functional description. The software is developed to implement the proposed algorithms for the human capital reproduction intellectual analysis based on the metric spaces of multisets.
© The Authors, published by EDP Sciences, 2023
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