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http://dx.doi.org/10.7472/jksii.2020.21.1.237

A Methodology of Decision Making Condition-based Data Modeling for Constructing AI Staff  

Han, Changhee (Dept. of Computer Science, Korea Military Academy)
Shin, Kyuyong (Dept. of Computer Science, Korea Military Academy)
Choi, Sunghun (Dept. of Economics, Korea Military Academy)
Moon, Sangwoo (Dept. of Computer Science, Korea Military Academy)
Lee, Chihoon (Center of Artificial Intelligence, Korea Military Academy)
Lee, Jong-kwan (Dept. of Computer Science, Korea Military Academy)
Publication Information
Journal of Internet Computing and Services / v.21, no.1, 2020 , pp. 237-246 More about this Journal
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.
Keywords
Command&Control; Decision-Making; Artificial Intelligence System; C4I; Machine Learning & Training;
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