The Convergence of the telematic, computing and information services as a basis for using artificial intelligence to manage complex techno-organizational systems

The authors analyses the problems of using artificial intelligence to manage complex techno-organizational systems on the basis of the convergence of the telematic, computing and information services in order to manage complex techno-organizational systems in the aerospace industry. This means getti...

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Main Authors: Raikov Alexander, Trachuk Arkady, Romanova Yulia, Loginova Valery, Bortalevich Vitalia
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201815801027
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spelling doaj-0b7995448b7e48af959808cadf7a2d252021-03-02T09:26:47ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-011580102710.1051/matecconf/201815801027matecconf_se2018_01027The Convergence of the telematic, computing and information services as a basis for using artificial intelligence to manage complex techno-organizational systemsRaikov AlexanderTrachuk ArkadyRomanova YuliaLoginova ValeryBortalevich VitaliaThe authors analyses the problems of using artificial intelligence to manage complex techno-organizational systems on the basis of the convergence of the telematic, computing and information services in order to manage complex techno-organizational systems in the aerospace industry. This means getting the space objects a higher level of management based on the self-organizing integration principle. Using the artificial intelligence elements allows us to get more optimal and limit values parameters of the ordinal and critical situations in real time. Thus, it helps us to come closer to the limit values parameters of the managed objects due to rising managing and observant possibilities.https://doi.org/10.1051/matecconf/201815801027
collection DOAJ
language English
format Article
sources DOAJ
author Raikov Alexander
Trachuk Arkady
Romanova Yulia
Loginova Valery
Bortalevich Vitalia
spellingShingle Raikov Alexander
Trachuk Arkady
Romanova Yulia
Loginova Valery
Bortalevich Vitalia
The Convergence of the telematic, computing and information services as a basis for using artificial intelligence to manage complex techno-organizational systems
MATEC Web of Conferences
author_facet Raikov Alexander
Trachuk Arkady
Romanova Yulia
Loginova Valery
Bortalevich Vitalia
author_sort Raikov Alexander
title The Convergence of the telematic, computing and information services as a basis for using artificial intelligence to manage complex techno-organizational systems
title_short The Convergence of the telematic, computing and information services as a basis for using artificial intelligence to manage complex techno-organizational systems
title_full The Convergence of the telematic, computing and information services as a basis for using artificial intelligence to manage complex techno-organizational systems
title_fullStr The Convergence of the telematic, computing and information services as a basis for using artificial intelligence to manage complex techno-organizational systems
title_full_unstemmed The Convergence of the telematic, computing and information services as a basis for using artificial intelligence to manage complex techno-organizational systems
title_sort convergence of the telematic, computing and information services as a basis for using artificial intelligence to manage complex techno-organizational systems
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2018-01-01
description The authors analyses the problems of using artificial intelligence to manage complex techno-organizational systems on the basis of the convergence of the telematic, computing and information services in order to manage complex techno-organizational systems in the aerospace industry. This means getting the space objects a higher level of management based on the self-organizing integration principle. Using the artificial intelligence elements allows us to get more optimal and limit values parameters of the ordinal and critical situations in real time. Thus, it helps us to come closer to the limit values parameters of the managed objects due to rising managing and observant possibilities.
url https://doi.org/10.1051/matecconf/201815801027
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