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국방 M&S의 가상군 행위 모델링 방법론 연구: 조사와 미래방향을 중심으로

The Study on CGF Behavior Modeling Methodologies for Defense M&S: Focusing on Survey and Future Direction

  • 투고 : 2020.03.29
  • 심사 : 2020.05.04
  • 발행 : 2020.06.30

초록

인구수 감소와 국방개혁으로 인한 병력 감축, 4차 산업혁명 기술의 초고도화에 따른 기술적 요인으로 국방 M&S의 개체를 자동화 모의하는 것은 이제 군의 현실적인 목표가 되었다. 자동화 모의 기술의 사용자인 군과 기술을 개발해야 하는 공학자들의 공통된 방향설정이 필요한 시점이다. 본 연구는 향후 국방 M&S의 자동화 모의 연구를 위한 가이드라인을 제시한다. 이를 위해, 먼저 자동화 모의를 가능하게 방법론들 규칙-기반방법, 에이전트-기반방법, 학습-기반방법에 대해 논의하고, 이어서 이러한 방법론을 어떠한 방향으로 개발해야 하는지에 대해 논의한다. 연구를 통해 국방 M&S의 자동화 모의 기술 연구가 본격화 되고, 군과 개발자 사이의 간극이 좁혀지기를 기대한다.

Immediate and serious attention on CGF(computer generated forces) behavior modeling for defense M&S (modeling & simulation) is required in response to the reduction in the number of troops and development of 4th industrial technologies. It is crucial for both military person and engineer to understand such technologies. The research aims to provide guidelines for establishment of research direction on CGF behavior modeling. We investigate traditional and/or novel methodologies such as rule-based, agent-based, and learning-based method. Discussions on future direction of applicable area and strategies are followed. We expect that the research plays a key role for understanding CGF behavior modeling.

키워드

참고문헌

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