智能体大语言模型如何落地 2003 年提出的知识平面（Knowledge Plane）
Instantiating the Knowledge Plane
AI 导读
论文认为，智能体大语言模型终于能实现 Clark 等人 2003 年提出的“知识平面”（Knowledge Plane）构想，即由共享网络状态信息的智能体协作跨管理域管理互联网。当年该构想因缺乏推理与非结构化通信能力未能落地，跨域问题至今仍靠人工处理。作者指出，还需解决去中心化、多智能体竞合环境下研究不足的新问题。
正文 · 原文
Abstract:In 2003, Clark et al. proposed the "Knowledge Plane", a layer of intelligent agents that share rich information about network state in order to collaboratively manage the Internet across administrative boundaries. The technology of the day lacked the two capabilities it demanded most: reasoning and unstructured communication. Thus, automated network management has remained largely confined to single domains, while interdomain problems are still resolved by human operators on the phone. We argue that agentic large language models can finally unlock the potential of the Knowledge Plane, but that doing so will require solving new research problems that arise particularly in this decentralized, multi-agent, coopetitive setting that have received limited attention in the literature thus far.
| Comments: | Accepted at HotNets '26 (Salt Lake City, UT, USA). 11 pages |
| Subjects: | Networking and Internet Architecture (cs.NI); Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2611.07827 [cs.NI] |
| (or arXiv:2611.07827v1 [cs.NI] for this version) | |
| https://doi.org/10.48550/arXiv.2611.07827 arXiv-issued DOI via DataCite (pending registration) |
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| Related DOI: | https://doi.org/10.1145/3847290.3859939
DOI(s) linking to related resources |
Submission history
From: Francisco Pereira [view email]
[v1]
Thu, 5 Nov 2026 11:09:21 UTC (1,482 KB)
来源：arXiv cs.AI · arxiv.org