Models and algorithms for human capital reproduction intellectual analysis

Abstract

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.

Multicriteria models for structural analysis of human capital reproduction strategies of knowledge-intensive enterprises in the context of digitalization

“…At the same time, small businesses, as a result of integration with large knowledgeintensive enterprises, can significantly contribute to the stable implementation of an effective policy of intensive renewal of human capital [20,21]. High-tech enterprises can use scientific equipment from various companies and manufacturers by purchasing, renting or leasing it.…”

Economic and mathematical modeling of demand subsidies for photovoltaic technologies

“…The essence of the interest rate channel for subsidizing the demand for scientific knowledge of development institutions is manifested in the influence of changes in rates on market interest rates on loans and deposits [15,28]. Accordingly, to assess such a channel, it is proposed to use the value of rates on deposits and loans on the market as objects of regulation through monetary policy measures.…”