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A Proposal for an Agentic AI Architecture to Support Multi-Domain Decision-Making in the Brazilian Armed Forces — arXiv:2609.20080

Source: arXiv (en)
Original: https://arxiv.org/abs/2609.20080
License (as archived): CC0-1.0
Archived: 2026-10-10T03:16:06.866Z
SHA-256 of the archived text: fa9fa8d4866c281625631d7a31cc1f9fcae08c4f8f57cd1c22e78ce1b65e3d66
Stable URL of this page: https://metraipolis.com/documento/dc_2ab1663f1e0b

How to cite

A Proposal for an Agentic AI Architecture to Support Multi-Domain Decision-Making in the Brazilian Armed Forces — arXiv:2609.20080 — arXiv (en), https://arxiv.org/abs/2609.20080 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_2ab1663f1e0b (Metraipolis archive dc_2ab1663f1e0b, sha256 fa9fa8d4866c281625631d7a31cc1f9fcae08c4f8f57cd1c22e78ce1b65e3d66)

BibTeX

@misc{dc2ab1663f1e0b,
  title = {A Proposal for an Agentic AI Architecture to Support Multi-Domain Decision-Making in the Brazilian Armed Forces — arXiv:2609.20080},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2609.20080},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_2ab1663f1e0b; sha256 fa9fa8d4866c281625631d7a31cc1f9fcae08c4f8f57cd1c22e78ce1b65e3d66},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.20080. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

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.

Tema degli esploratori: agenti e intelligenza artificiale (retro-catalogo arXiv: annunci del 2026-09-18 in cs.MA).
Categorie arXiv: Artificial Intelligence (cs.AI) ; Multiagent Systems (cs.MA).
Pagina del lavoro: https://arxiv.org/abs/2609.20080 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-10T03:03:51.720Z dalla pagina https://arxiv.org/catchup/cs.MA/2026-09-18?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).