面向巴西武装力量多域决策的智能体AI架构提案
A Proposal for an Agentic AI Architecture to Support Multi-Domain Decision-Making in the Brazilian Armed Forces
浏览论文内容
中文总结 AI 辅助
针对巴西三军多域决策，提出一种能规划、访问数据、执行工具并自主行动的智能体AI架构，涵盖四个应用方向及安全权限要求。
中文摘要 AI 辅助
多域作战环境（陆、空、海、网络和电磁频谱）日益复杂，导致到达指挥控制（C2）中心的数据量和速度不断增加，给观察-判断-决策-行动（OODA）决策周期带来压力。目前国防领域使用的人工智能（AI）系统通常是反应式和孤立的工具，仍严重依赖人类操作员来整合信息、评估态势和制定行动方案。本文提出了一种概念性的智能体AI架构，用于能够规划、访问数据源、执行工具并自主且可审计地行动的AI系统，旨在支持巴西三军（海军、陆军和空军）的决策。文中讨论了四个应用方向（决策支持、态势分析、可行性研究和对抗措施建议），以及数据和传感器访问要求，以及在行政、战略、作战和战术环境中负责任使用所需的安全和权限保障措施。
英文摘要
The growing complexity of multi-domain operational environments (land, aerospace, naval, cyber, and electromagnetic spectrum) has increased the volume and velocity of data reaching command-and-control (C2) centers, straining the observe-orient-decide-act (OODA) decision cycle. Artificial Intelligence (AI) systems currently employed in defense are, in general, reactive and isolated tools that still rely heavily on human operators to integrate information, assess scenarios, and formulate courses of action. This paper proposes a conceptual Agentic AI architecture for AI systems that can plan, access data sources, execute tools, and act autonomously and audibly, aimed at supporting decision-making across the three Brazilian Armed Forces (Navy, Army, and Air Force). Four application fronts are discussed (decision support, situational analysis, feasibility studies, and countermeasure suggestion), as well as the data and sensor access requirements and the security and permission safeguards necessary for responsible employment across administrative, strategic, operational, and tactical contexts.
发表机构
- Instituto Tecnológico de Aeronáutica (ITA)（航空技术研究院）
机构由 AI 辅助整理，请以论文原文为准。
