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Methodological Problems and Strategic Goals of the Work on Creation of the Theory and Technology of New Generation Intelligent Computer Systems

https://doi.org/10.35596/1729-7648-2024-30-1-40-51

Abstract

The main methodological problems and strategic goals of work on creating the theory and technology of intelligent computer systems of a new generation are considered. The problems of the current state of work in the field of artificial intelligence and their causes are studied, and the need for a transition to a new generation of intelligent computer systems is substantiated. The basic principles underlying such systems, as well as the corresponding complex technology, are presented. The transition from local automation when solving particular problems to complex automation of various areas of human activity is justified. The concept of an ecosystem of interoperable intelligent computer systems is proposed, which is the basis for complex automation. The architecture of the ecosystem, the directions of its evolution, and the classes of systems included in the ecosystem are considered.

About the Authors

V. V. Golenkov
Belarusian State University of Informatics and Radioelectronics
Belarus

Golenkov Vladimir Vasilievich

Dr. of Sci. (Tech.), Professor, Professor at the Department of Intelligent Information Technologies

220013, Minsk, P. Brovki St., 6



N. A. Guliakina
Belarusian State University of Informatics and Radioelectronics
Belarus

Cand. of Sci., Associate Professor, Associate Professor at the Department of Intelligent Information Technologies



D. V. Shunkevich
Belarusian State University of Informatics and Radioelectronics
Belarus

Cand. of Sci., Associate Professor, Head of the Department of Intelligent Information Technologies



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Review

For citations:


Golenkov V.V., Guliakina N.A., Shunkevich D.V. Methodological Problems and Strategic Goals of the Work on Creation of the Theory and Technology of New Generation Intelligent Computer Systems. Digital Transformation. 2024;30(1):40-51. (In Russ.) https://doi.org/10.35596/1729-7648-2024-30-1-40-51

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ISSN 2522-9613 (Print)
ISSN 2524-2822 (Online)