Methodological Approach to Controlling the Degree of Intentions about Novel Knowledge for the Digital Economy

The methodological approach to controlling the level of intentions about new knowledge in the field of artificial intelligence, which are expressed by organizational systems in the scientific industry and in the real sector of the economy, is investigated. Control is carried out in a digital platfor...

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Main Authors: Alexander A. Zatsarinnyy, Alexander P. Shabanov
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Engineering Proceedings
Subjects:
Online Access:https://www.mdpi.com/2673-4591/33/1/48
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author Alexander A. Zatsarinnyy
Alexander P. Shabanov
author_facet Alexander A. Zatsarinnyy
Alexander P. Shabanov
author_sort Alexander A. Zatsarinnyy
collection DOAJ
description The methodological approach to controlling the level of intentions about new knowledge in the field of artificial intelligence, which are expressed by organizational systems in the scientific industry and in the real sector of the economy, is investigated. Control is carried out in a digital platform based on semantic databases, which are structured under control concepts, under data entity accounting strategies, under the functions of the implementation management process and under the requirements for the timeliness of data transmission. The novelty lies in the ranking of studies depending on the degree of coincidence of intentions. The practical significance is manifested in the priority provision of new knowledge, which is most significant in the digital economy.
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spelling doaj.art-463f3ab606ce4a2e806c6d1d946d22a82023-12-22T14:06:51ZengMDPI AGEngineering Proceedings2673-45912023-07-013314810.3390/engproc2023033048Methodological Approach to Controlling the Degree of Intentions about Novel Knowledge for the Digital EconomyAlexander A. Zatsarinnyy0Alexander P. Shabanov1Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, 44 Vavilova St. Corpus 2, Moscow 119333, RussiaFederal Research Center “Computer Science and Control” of the Russian Academy of Sciences, 44 Vavilova St. Corpus 2, Moscow 119333, RussiaThe methodological approach to controlling the level of intentions about new knowledge in the field of artificial intelligence, which are expressed by organizational systems in the scientific industry and in the real sector of the economy, is investigated. Control is carried out in a digital platform based on semantic databases, which are structured under control concepts, under data entity accounting strategies, under the functions of the implementation management process and under the requirements for the timeliness of data transmission. The novelty lies in the ranking of studies depending on the degree of coincidence of intentions. The practical significance is manifested in the priority provision of new knowledge, which is most significant in the digital economy.https://www.mdpi.com/2673-4591/33/1/48data conversioninformation transfercontrol loopdigital platforminnovative solutions
spellingShingle Alexander A. Zatsarinnyy
Alexander P. Shabanov
Methodological Approach to Controlling the Degree of Intentions about Novel Knowledge for the Digital Economy
Engineering Proceedings
data conversion
information transfer
control loop
digital platform
innovative solutions
title Methodological Approach to Controlling the Degree of Intentions about Novel Knowledge for the Digital Economy
title_full Methodological Approach to Controlling the Degree of Intentions about Novel Knowledge for the Digital Economy
title_fullStr Methodological Approach to Controlling the Degree of Intentions about Novel Knowledge for the Digital Economy
title_full_unstemmed Methodological Approach to Controlling the Degree of Intentions about Novel Knowledge for the Digital Economy
title_short Methodological Approach to Controlling the Degree of Intentions about Novel Knowledge for the Digital Economy
title_sort methodological approach to controlling the degree of intentions about novel knowledge for the digital economy
topic data conversion
information transfer
control loop
digital platform
innovative solutions
url https://www.mdpi.com/2673-4591/33/1/48
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