A Methodology for Defense AI Command & Control Platform Construction 


Vol. 44,  No. 4, pp. 774-781, Apr.  2019
10.7840/kics.2019.44.4.774


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  Abstract

The ultimate objective of the research outcome that can be achieved by this present paper is to improve the precision of command & control(C2) system in the Defense domain and to construct an AI C2 staff. In this paper, a prototype of 2-step milestone for the AI C2 staff construction is proposed and the methodology for the prototypes is addressed. The prerequisite for the AI C2 staff construction, the final step of the milestone, depends on whether data generated by human decision-making are collected, but unfortunately it is currently not. The reason is that commanders seem not to use it well being compared to a huge budget used to develop the C2 system. It is necessary to first perform an implementation process which is to change existing combat management command & control system into a new paradigm of Automatic Retrieval System, in order to remove a delay fatigue in the decision-making process and to collect the human decision-making data. Through a consensus and endeavor to fulfill the journey of 2-step milestone, the society of a real AI platform beyond the AI-based defense staff can be earlier opened.

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  Cite this article

[IEEE Style]

C. Han and J. Lee, "A Methodology for Defense AI Command & Control Platform Construction," The Journal of Korean Institute of Communications and Information Sciences, vol. 44, no. 4, pp. 774-781, 2019. DOI: 10.7840/kics.2019.44.4.774.

[ACM Style]

Changhee Han and Jong-Kwan Lee. 2019. A Methodology for Defense AI Command & Control Platform Construction. The Journal of Korean Institute of Communications and Information Sciences, 44, 4, (2019), 774-781. DOI: 10.7840/kics.2019.44.4.774.

[KICS Style]

Changhee Han and Jong-Kwan Lee, "A Methodology for Defense AI Command & Control Platform Construction," The Journal of Korean Institute of Communications and Information Sciences, vol. 44, no. 4, pp. 774-781, 4. 2019. (https://doi.org/10.7840/kics.2019.44.4.774)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880