Changhee Han, Kyuyong Shin, Sunghun Choi, Sangwoo Moon, Chihoon Lee, Jong-kwan Lee, Journal of Internet Computing and Services, Vol. 21, No. 1, pp. 237-246, Feb. 2020
10.7472/jksii.2020.21.1.237, Full Text:  HTML
Keywords: Command&Control, decision-making, Artificial Intelligence System, C4I, Machine Learning & Training

Abstract

this paper, a data modeling method based on decision-making conditions is proposed for making combat and battlefield management systems to be intelligent, which are also a decision-making support system. A picture of a robot seeing and perceiving like humans and arriving a point it wanted can be understood and be felt in body. However, we can't find an example of implementing a decision-making which is the most important element in human cognitive action. Although the agent arrives at a designated office instead of human, it doesn't support a decision of whether raising the market price is appropriate or doing a counter-attack is smart. After we reviewed a current situation and problem in control & command of military, in order to collect a big data for making a machine staff's advice to be possible, we propose a data modeling prototype based on decision-making conditions as a method to change a current control & command system. In addition, a decision-making tree method is applied as an example of the decision making that the reformed control & command system equipped with the proposed data modeling will do. This paper can contribute in giving us an insight of how a future AI decision-making staff approaches to us.

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