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인공지능을 통한 ATO 기획체계 발전: 전투계획 자동화를 중심으로

The Progress of ATO Planning System with Artificial Intelligence : Centered on Combat Plans Automation

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초록

본 연구는 공지전투에서 비롯된 항공임무명령서(ATO) 기획주기의 둔중함에 주목하고, ATO 기획체계의 발전 방향을 제시한다. 72시간 ATO 기획주기는 재래식 전쟁의 선형전투에 적합하다. 비선형전투를 특징으로 하는 현대전의 역동적인 작전환경에서 3일이 걸리는 ATO 기획주기는 민첩한 대응에 결정적인 한계를 갖는다. 본 고는 인공지능으로 전투계획 자동화 시스템을 구축한다면 3일에 걸친 ATO 기획과정을 획기적으로 단축할 수 있다고 주장한다. 논문은 이를 이해하기 위한 개념적 분석틀로서 구심성 의사결정주기(Centripetal OODA Loop)을 제안한다. 인공지능은 합동전영역작전에서 추구하는 임무지휘를 가능하게 하고, 합동성의 시너지 효과를 극대화하는데 크게 기여할 것이다.

Abstract

This study explores a lagged Air Tasking Order(ATO) planning cycle, resuting from AirLand Battle and propose the development of ATO Planning System. The 72-hour ATO planning process is suitable for linear battles of conventional wars. In the dynamic operational environment of modern warfare, the planning cycle, which takes three days, has critical limitations on agile response to adversary maneuver. This paper argues that if combat plans is automated with artificial intelligence, the ATO planning process can be drastically shortened. The paper, as a conceptual analysis framework for understanding this, proposes an centripetal decision-making cycle(Centripetal OODA Loop). Artificial intelligence will greatly contribute to enabling mission command pursued in joint all domain operations(JADO) and maximizing the synergy effect of jointness.

참고문헌 (43)

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