• Title/Summary/Keyword: smart counter

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A Methodology of Decision Making Condition-based Data Modeling for Constructing AI Staff (AI 참모 구축을 위한 의사결심조건의 데이터 모델링 방안)

  • Han, Changhee;Shin, Kyuyong;Choi, Sunghun;Moon, Sangwoo;Lee, Chihoon;Lee, Jong-kwan
    • Journal of Internet Computing and Services
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    • v.21 no.1
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    • pp.237-246
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    • 2020
  • 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.