인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
Effective decision-making and timely actions in combat are critical to the success of military operations, requiring swift and accurate responses to complex environments and diverse situations. Combat simulations are essential tools for planning, training, and analyzing military operations. The integration of artificial intelligence can significantly enhance the realism and effectiveness of these simulations. Accurately modeling combat scenarios requires a comprehensive representation of various combat states and interactions, supported by robust simulation requirements. This study aims to develop a state-based model utilizing Finite State Machines (FSM) to ensure the completeness of combat scenarios by systematically capturing all possible combat states and transitions. By analyzing state transition patterns and decision-making elements, this study defines and formalizes the necessary simulation models. The proposed FSM- based framework ensures the integrity of combat scenarios, enabling precise modeling of com- bat interactions and decision-making processes. This approach improves real-time responsiveness in battlefield simulations and enhances the overall accuracy of decision-making and action planning. The resulting models are expected to provide a foundational tool for advanced com- bat simulation systems, increasing the reliability and completeness of real-time combat simulations through structured state representation and transitions.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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