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ÇѱÛÁ¦¸ñ(Korean Title) |
AI Âü¸ð ±¸ÃàÀ» À§ÇÑ ÀÇ»ç°á½ÉÁ¶°ÇÀÇ µ¥ÀÌÅÍ ¸ðµ¨¸µ ¹æ¾È |
¿µ¹®Á¦¸ñ(English Title) |
A Methodology of Decision Making Condition-based Data Modeling for Constructing AI Staff |
ÀúÀÚ(Author) |
ÇÑâÈñ
½Å±Ô¿ë
ÃÖ¼ºÈÆ
¹®»ó¿ì
ÀÌÄ¡ÈÆ
ÀÌÁ¾°ü
Changhee Han
Kyuyong Shin
Sunghun Choi
Sangwoo Moon
Chihoon Lee
Jong-kwan Lee
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¿ø¹®¼ö·Ïó(Citation) |
VOL 21 NO. 01 PP. 0237 ~ 0246 (2020. 02) |
Çѱ۳»¿ë (Korean Abstract) |
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¿µ¹®³»¿ë (English 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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Å°¿öµå(Keyword) |
ÁöÈÖÅëÁ¦
ÀÇ»ç°á½É
ÀΰøÁö´É½Ã½ºÅÛ
C4I
±â°èÇнÀ ¹× ÈÆ·Ã
Command&Control
Decision-Making
Artificial Intelligence System
C4I
Machine Learning & Training
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