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Autonomy and Coordination in Intelligent Manufacturing: A Recursive Autonomous Agent Framework — arXiv:2611.05828

Source: arXiv (en)
Original: https://arxiv.org/abs/2611.05828
License (as archived): CC0-1.0
Archived: 2026-11-05T18:16:47.808Z
SHA-256 of the archived text: faa26ae0534999d06d342171a904771a1ebc1ed0cf829258db00200edc266980
Stable URL of this page: https://metraipolis.com/documento/dc_2ee469ffa3c8

How to cite

Autonomy and Coordination in Intelligent Manufacturing: A Recursive Autonomous Agent Framework — arXiv:2611.05828 — arXiv (en), https://arxiv.org/abs/2611.05828 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_2ee469ffa3c8 (Metraipolis archive dc_2ee469ffa3c8, sha256 faa26ae0534999d06d342171a904771a1ebc1ed0cf829258db00200edc266980)

BibTeX

@misc{dc2ee469ffa3c8,
  title = {Autonomy and Coordination in Intelligent Manufacturing: A Recursive Autonomous Agent Framework — arXiv:2611.05828},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2611.05828},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_2ee469ffa3c8; sha256 faa26ae0534999d06d342171a904771a1ebc1ed0cf829258db00200edc266980},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2611.05828. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Intelligent production requires systems to make decisions and organize work according to production goals and operating conditions. It also requires continuous adjustment through feedback. This paper analyzes intelligence in human production organizations from a complex adaptive systems (CAS) perspective. The analysis identifies two coupled mechanisms: individual autonomy and collective coordination. Individual autonomy enables actors to form local decisions using available information. Collective coordination aligns these decisions with shared goals and joint constraints. Learning and adaptation improve both mechanisms over time. A production-system model formalizes how local decision rules and coordination jointly form system decisions. On this basis, we propose the Recursive Autonomous Agent (RAA) framework, which combines goal-driven autonomous agents with a recursive organizational structure. Goal contracts define local objectives and operating boundaries, while capability contracts support the selection and composition of production units. Common interfaces allow coordinated groups to participate as units in larger organizations, connecting equipment, production lines, and factories. RAA thus provides an engineering approach to next-generation intelligent manufacturing, translating the requirements of intelligence, openness, and system-wide integration into mechanisms for autonomous and coordinated production.

Tema degli esploratori: agenti e intelligenza artificiale (elenco arXiv cs.AI, nuovi lavori del giorno).
Categorie arXiv: Artificial Intelligence (cs.AI) ; Machine Learning (cs.LG).
Pagina del lavoro: https://arxiv.org/abs/2611.05828 — 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 2026-11-05T18:12:49.000Z dalla pagina https://arxiv.org/list/cs.AI/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).