Explore the integration of AI and MBSE with SysML to enhance systems and software design processes. This book provides practical insights and methodologies for leveraging AI in MBSE, making it a resource for engineers, developers, and technical managers.

2024年7月22日 · ai4mbse（ai for mbse）也即人工智能和mbse的结合。 其目的是通过整合人工智能技术来增强MBSE的能力，从而提高系统设计和开发的效率和质量。 AI4MBSE框架旨在通过自动化和智能化的工具来支持系统工程师，使他们能有效应对MBSE的挑战。

2019年11月1日 · Model-Based Systems Engineering (MBSE) and Artificial Intelligence (AI) have been challenged concerning their successful deployment in real-world applications. In this paper, we aim to...

Artificial Intelligence (AI) is rapidly gaining prominence in the world of engineering and systems design, and it has the potential to revolutionize the way we approach Model-Based Systems Engineering (MBSE). By leveraging AI technologies, we can improve the efficiency and effectiveness of our systems engineering processes, and ultimately ...

New AI technologies can be used to derive potential assistant systems in the context of MBSE. This paper shows realized examples of AI-based assistance systems. They are motivated by the experience of using MBSE in research and development projects …

Dalus：基于模型的系统工程(MBSE)软件，AI辅助建模，支持系统级仿真，版本控制，协同工作，适用于航空航天、国防、能源、汽车等领域。 系统建模 需求可追溯性

Model-Based Systems Engineering (MBSE) and Artificial Intelligence (AI) have been challenged concerning their successful deployment in real-world applications. In this paper, we aim to...

2024年9月7日 · This research investigates the integration of OpenAI's GPT-4 Turbo into CATIA Magic for Model-Based Systems Engineering (MBSE), resulting in the creation of AI Systems Modeling Enhancer (AI-SME). This study explores the comparison between models generated by AI, specifically OpenAI's GPT, and those crafted by human systems engineers.

2024年5月8日 · Model Based Systems Engineering (MBSE) – “A Formalized application of modeling to support system requirements design, analysis, verification and validation activities beginning in the conceptual design phase and continuing throughout development and later lifecycle phases” (INCOSE, 2007)

人工智能 (AI) 在工程和系统设计领域迅速崛起，它有可能彻底改变我们处理基于模型的系统工程 (MBSE) 的方式。 通过利用人工智能技术，我们可以提高系统工程流程的效率和有效性，并最终交付更好、更具弹性的系统。 本文探讨了将 AI 应用于 MBSE 的各种方式，并强调了将这些技术成功集成到我们的工作流程中必须克服的一些挑战。 AI 可以通过多种方式应用于 MBSE。 一些最有前途的应用包括： 智能需求分析： 自然语言处理 (NLP) 和机器学习 (ML) 等人工智能技术可用 …