Proceedings of the 2018 International Conference on Mathematics, Modeling, Simulation and Statistics Application (MMSSA 2018)

The Theories and Methods of Military Operations Research in BD&AI Era

Authors
Xianjin Bu, Qiwang Huang
Corresponding Author
Xianjin Bu
Available Online January 2019.
DOI
10.2991/mmssa-18.2019.36How to use a DOI?
Keywords
military operations; AI; mechanism; algorithm; theories and methods
Abstract

With the development of science and technology, human beings have entered the era of big data and artificial intelligence. How to play the role of fundamental subject has become a topic of concern in military operations research. In this paper, based on the changes of key element in the command and decision-making process derived by AI technology, the new characteristics of military operations research are analyzed, the new changes of the military operations research mechanisms are expounded, and the challenges faced by the operational core algorithm are pointed out. As a result, some suggestions military operations planning, command decision-making will be put forward in the future.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 International Conference on Mathematics, Modeling, Simulation and Statistics Application (MMSSA 2018)
Series
Advances in Intelligent Systems Research
Publication Date
January 2019
ISBN
10.2991/mmssa-18.2019.36
ISSN
1951-6851
DOI
10.2991/mmssa-18.2019.36How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xianjin Bu
AU  - Qiwang Huang
PY  - 2019/01
DA  - 2019/01
TI  - The Theories and Methods of Military Operations Research in BD&AI Era
BT  - Proceedings of the 2018 International Conference on Mathematics, Modeling, Simulation and Statistics Application (MMSSA 2018)
PB  - Atlantis Press
SP  - 152
EP  - 155
SN  - 1951-6851
UR  - https://doi.org/10.2991/mmssa-18.2019.36
DO  - 10.2991/mmssa-18.2019.36
ID  - Bu2019/01
ER  -