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Adaptive Decision Method in C3I System

As an important system in the national defense and military information construction, the command, control, communication, and intelligence (C3I) system urgently needs to establish an adaptive process to deal with the dynamic operating environment and changeable task requirements to ensure the long-...

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Detalles Bibliográficos
Autores principales: Gao, Kun, Wang, Hao, Nazarko, Joanicjusz, Jarocka, Marta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9417790/
https://www.ncbi.nlm.nih.gov/pubmed/36035859
http://dx.doi.org/10.1155/2022/6967223
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author Gao, Kun
Wang, Hao
Nazarko, Joanicjusz
Jarocka, Marta
author_facet Gao, Kun
Wang, Hao
Nazarko, Joanicjusz
Jarocka, Marta
author_sort Gao, Kun
collection PubMed
description As an important system in the national defense and military information construction, the command, control, communication, and intelligence (C3I) system urgently needs to establish an adaptive process to deal with the dynamic operating environment and changeable task requirements to ensure the long-term effective and stable operation of the system. As an important part of this process, the adaptive decision method should have the ability of online trade-off decision. Therefore, this paper presents an adaptive decision method based on parallel computing and optimization theory. This method combines operational requirements and commander preference to achieve the parallel adaptive decision solution. The experimental results show that the presented decision method can generate online trade-off strategies to deal with typical command and control scenarios of damage replacement in a simulated environment, effectively guide the system to carry out adjustment behavior, and achieve the goal of dynamic response to environmental changes and task changes.
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spelling pubmed-94177902022-08-27 Adaptive Decision Method in C3I System Gao, Kun Wang, Hao Nazarko, Joanicjusz Jarocka, Marta Comput Intell Neurosci Research Article As an important system in the national defense and military information construction, the command, control, communication, and intelligence (C3I) system urgently needs to establish an adaptive process to deal with the dynamic operating environment and changeable task requirements to ensure the long-term effective and stable operation of the system. As an important part of this process, the adaptive decision method should have the ability of online trade-off decision. Therefore, this paper presents an adaptive decision method based on parallel computing and optimization theory. This method combines operational requirements and commander preference to achieve the parallel adaptive decision solution. The experimental results show that the presented decision method can generate online trade-off strategies to deal with typical command and control scenarios of damage replacement in a simulated environment, effectively guide the system to carry out adjustment behavior, and achieve the goal of dynamic response to environmental changes and task changes. Hindawi 2022-08-19 /pmc/articles/PMC9417790/ /pubmed/36035859 http://dx.doi.org/10.1155/2022/6967223 Text en Copyright © 2022 Kun Gao et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Gao, Kun
Wang, Hao
Nazarko, Joanicjusz
Jarocka, Marta
Adaptive Decision Method in C3I System
title Adaptive Decision Method in C3I System
title_full Adaptive Decision Method in C3I System
title_fullStr Adaptive Decision Method in C3I System
title_full_unstemmed Adaptive Decision Method in C3I System
title_short Adaptive Decision Method in C3I System
title_sort adaptive decision method in c3i system
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9417790/
https://www.ncbi.nlm.nih.gov/pubmed/36035859
http://dx.doi.org/10.1155/2022/6967223
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