
Quality of Life, Using Science and Economic Growth and Mathematical Analogue Model of Their Indices
Author(s) -
Rem Zadneprovsky
Publication year - 2020
Publication title -
prirodnye sistemy i resursy
Language(s) - English
Resource type - Journals
ISSN - 2713-1572
DOI - 10.15688/nsr.jvolsu.2019.2.4
Subject(s) - quality (philosophy) , population , computer science , perception , mathematical model , character (mathematics) , dynamics (music) , state (computer science) , work (physics) , industrial engineering , management science , operations research , risk analysis (engineering) , artificial intelligence , mathematics , engineering , statistics , algorithm , mechanical engineering , sociology , psychology , pedagogy , philosophy , demography , geometry , epistemology , neuroscience , medicine
The aim of the work is to use the mathematical modeling apparatus to discover the relationship between real indicators of economic growth and well-being of the population with the quality of life of individual citizens. The subjective perception of the quality of life by the subject and the researcher makes this problem quite difficult for mathematical formalization. Digitalization of all types of human activity becomes one of the problematic aspects for modeling its status in the surrounding society. On the other hand, it allows you to Bank available solutions to the main tasks in human activity to create a comfortable living environment. The technique of formalization is considered and applied from the standpoint of General laws of motion and time dynamics of processes in natural environments (mechanical, electrical, biological systems), which may have a damping or exponential-wave character. Based on the proposed dependent equations, we offer a minimum list of factors that are necessary for the construction of predictive models. Taking into account the proposed factors, prognostic models are made that allow determining the current state of human quality of life with a sufficiently high probability in connection with the dynamic characteristics of the environment and socio-economic conditions of its life.