Mohammad Chami, Nabil Abdoun, Jean‐Michel Bruel

Artificial Intelligence Capabilities for Effective Model‐Based Systems Engineering: A Vision Paper

  • Automotive Engineering
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AbstractBoth Model‐Based Systems Engineering (MBSE) and Artificial Intelligence (AI) have been challenged for their deployment in real‐world applications. Although MBSE remains the focal point of any systems engineering activities, its adoption still faces significant hurdles to demonstrate its return on investment. Recently, AI has received intensive attention, and its applications made their way into our daily life products. From an industrial perspective, within the context of the design and development of mechatronic systems, there is a lack of coherent foundation to enable the application of AI in MBSE. This vision paper discusses the role of AI in solving a set of MBSE challenges. As a result, we contribute by describing the actual MBSE adoption challenges and follow up with the characterization of the capabilities of AI in solving these challenges. With this initial work, we aim to trigger both AI and MBSE communities for further research discussions and industrial applications to help in achieving an intelligent design and development environment.

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