사이버공간까지 포함하는 더 넓은 전장에서, 보다 진보한 첨단 무기를 통해, 빠른 의사결정과 지휘결심을 통해 치러질 미래전에서는 인공지능 참모의 필요성이 한층 부각될 것이다. 전투 정보량은 증가하고 상황변화 대비 실시간 의사결정을 요구하는 '운영 중심의 전투'가 중요해지기 때문이다. 1990년대 미해병대의 IMMACCS(Integrated Marine Multi-Agent Command and Control System), 2009년 미국 DARPA가 개발한 지휘결심 지원 시스템 Deep Green 등은 지휘결심을 지원하기 도구로 인공지능을 활용하려는 시도였다. 하지만 전투 정보의 공유, 요약, 표현 도구에 가까웠으며 본격적인 지능이 구현되었다고 보기는 어려웠다. 현재 군사적 참모로서 인공지능을 활용하는 기술적 방식은 강화학습과 에이전트 기반 모델링의 결합이 가장 유력하다고 할 수 있다. 하지만 기대에 부합하는 성능을 구현하기 위해서는 전투 상황, 지휘의사결정, 전투 결과를 모두 담고 있는 고품질의 데이터 축적이 우선 필요하다.
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