Management of Economics and State "Bottom"

Author:

Solozhentsev E. D.1

Affiliation:

1. St. Petersburg University of Aerospace Instrumentation; Institute for Problems in Mechanical Engineering of the Russian Academy of Sciences

Abstract

The scientific problem of economics “Managing the quality of human life” is formulated on the basis of artificial intelligence, algebra of logic and logical-probabilistic calculus. Managing the quality of human life is represented by managing the processes of his treatment, training and decision making. Events in these processes and the corresponding logical variables relate to the behavior of a person, other persons and infrastructure. The processes of the quality of human life are modeled, analyzed and managed with the participation of the person himself. Scenarios and structural, logical and probabilistic models of managing the quality of human life are given. Special software for quality management is described. The relationship of human quality of life and the digital economy is examined. We consider the role of public opinion in the management of the “bottom” based on the synthesis of many studies on the management of the economics and the state. The bottom management is also feedback from the top management.

Publisher

JSC FPH Business Express

Subject

General Medicine

Reference16 articles.

1. Solozhentsev Е.D. Тop economics. Management of economic Safety. St. Petersburg.: SUAI, 2015. 250 p. (In Russ.)

2. Solozhentsev E. (2017) The Management of Socioeconomic Safety. Сambridge Scholars Publishing, 255 p.

3. Solozhentsev E. D. Ephemeral and digital management of safety and quality in economics // Issues of Risk Analysis. 2018. Vol. 15. № 5. P. 76—95. (In Russ.) https://doi.org/10.32686/1812-5220-2018-15-5-76-95

4. Raworth Kate (2017) Doughnut Economics: Seven Ways to Think Like a 21st — entury Economist. — Publisher: Cornerstone: Economic theory & philosophy, 284 p.

5. Solozhentsev Е.D. DIGITAL ТОP-ECONOMICS: new principles, objects, knowledge and tasks. — Modeling and Analysis of safety and risk in complex systems / Proceedings of the fifteenth international conference MASR-2019 (St. Petersburg, Russia). St. Petersburg: SUAI. 2019. P. 9—16. (In Russ.)

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