English(EN) AI as Consumer and Participant: A Co-Design Agenda for MBSE Substrates and Methodology

AI协同设计议程被提议用于MBSE基础和方法学

作者 PulseAugur 编辑部 · [1 个来源] · 2026-04-28 11:51

一篇新论文提出了一项模型基础系统工程（MBSE）基础和方法学的协同设计议程，以更好地整合AI的参与。当前的MBSE模型并非为AI消费而设计，导致AI工具充当提示而非知识库。作者认为，模型和方法学必须协同设计，将模型视为可机器查询的知识基础。本文概述了一个具体的流程场景来说明差距，并提出了未来发展的三个指导原则。 AI

影响提出了一种将AI整合到MBSE中的新框架，有可能提高AI在系统工程工作流中的效用。

排序理由这是一篇讨论AI整合到MBSE中的新方法的学术论文。

在 arXiv cs.AI 阅读 →

arXiv
MBSE

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Research; 这是一篇讨论AI整合到MBSE中的新方法的学术论文。
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: paper, other; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: 154 days old; Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Siyuan Ji · 2026-04-28 11:51

人工智能作为消费者和参与者：MBSE底层和方法论的共设议程

AI tools are being deployed over MBSE models today, and those models were not designed for this kind of consumption. The problem is not simply that tools hallucinate: well-prompted frontier models produce competent, useful output over a conformant SysML model, but the reasoning t…

本文如何被排名

报道来源 [1]

人工智能作为消费者和参与者：MBSE底层和方法论的共设议程

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