Journal of the Korea Institute of Military Science and Technology (한국군사과학기술학회지)

The Korea Institute of Military Science and Technology (한국군사과학기술학회)
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Automated Course of Action Evaluation for Military Decision-Making

지휘결심을 위한 자동 방책 평가

  • Geewon Suh (Department of Electrical Engineering, KAIST) ;
  • Hyungkeun Yi (Intelligence C4I Team, HanwhaSystems) ;
  • Minhyuk Kim (Intelligence C4I Team, HanwhaSystems) ;
  • Byungjoo Kim (Intelligence C4I Team, HanwhaSystems) ;
  • Moonhyun Lee (Intelligence C4I Team, HanwhaSystems) ;
  • Jaewoo Baek (Intelligence C4I Team, HanwhaSystems) ;
  • Changho Suh (Department of Electrical Engineering, KAIST)
  • 서기원 (한국과학기술원 전기및전자공학부) ;
  • 이형근 (한화시스템(주)/방산 지능형지휘통제팀) ;
  • 김민혁 (한화시스템(주)/방산 지능형지휘통제팀) ;
  • 김병주 (한화시스템(주)/방산 지능형지휘통제팀) ;
  • 이문현 (한화시스템(주)/방산 지능형지휘통제팀) ;
  • 백재우 (한화시스템(주)/방산 지능형지휘통제팀) ;
  • 서창호 (한국과학기술원 전기및전자공학부)
  • Received : 2024.01.04
  • Accepted : 2024.05.02
  • Published : 2024.08.05
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Abstract

In future complex and diverse battlefield situations, the existing command system faces the challenge of delayed human judgement of strategy and low objectivity. This paper proposes an artificial intelligence model that takes situation information and course of action simulation results as input and automatically assigns scores to various evaluation elements and a comprehensive score. This tool is expected to assist the commander in making decisions, reduce the time required for making judgments, and promote impartial decision-making.

Keywords

Acknowledgement

이 논문은 2023년 정부(방위사업청)의 재원으로 국방기술진흥연구소의 지원을 받아 수행된 연구임.(방책 추천 및 조정 자동화를 위한 지식베이스 구축 가시화 기술)

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