Modeling of Artificial Intelligence

15-23

Authors: Sergey A. Aivazyana, Mikhail Y. Afanasyeva

The approach based on the concept of stochastic frontier, to assessing of research team’s human capital, performing research with the financial support of the Science Foundation. The relevance of the problem is determined by the expansion of the use of competitive basis funding for research. As an estimate of research team’s human capital accepted the potential size of the financing in terms of effective use of research team’s human capital. Presents an econometric model, allowed to obtain estimates of the efficiency of research team’s human capital, have received financial support fund for scientific research. As a measure of efficiency is considered matching the size of the financial support of his research team characteristics of human capital. Formulated statistical hypothesis, test results which can be used to improve the competitive application forms and expert profiles, used the fund. It is noted, that when checking the hypothesis of no inefficiency of research team’s human capital, should be used the machine of copula functions, expanding the scope of the stochastic frontier methodology at the expense of rejection of the assumption of independence of the random components of the econometric model and allowing a correct estimates of the efficiency in terms of their dependence.

33-43

Authors: Igor P. Deshkoa, Konstantin G. Kryazhenkova, Evgenii E. Cheharina

The article reveals the contents of virtualization technologies. The article gives the analysis of the current development of virtual models and virtual technologies. Showing the difference between virtualization technologies and virtual simulation.The relationship between cloud computing and virtualisation technologies. The article analyzes the trends in the development of virtual technology. This article describes the cognitive characteristics of the virtual model. The article reveals the contents of the virtual simulation of synergy. This article describes the spatial aspects of virtualization. The article reveals the multiscale virtual simulation.

55-60

Authors: Pavel V. Gluschenkoa

In the article on the basis of analysis of scientific works on risk management, technical diagnostics, forecasting and standards for risk management are considered the most appropriate risk assessment methods for technical dynamic systems, especially risk occurs during the processes of diagnostics and forecasting technical condition of these systems. A brief description of each method considered.