A new paper proposes a co-design agenda for Model-Based Systems Engineering (MBSE) substrates and methodologies to better integrate AI participation. Current MBSE models were not designed for AI consumption, leading to issues where AI tools function as prompts rather than knowledge bases. The authors argue that models and methodologies must be designed together, treating models as machine-queryable knowledge substrates. This paper outlines a concrete workflow scenario to illustrate the gap and proposes three guiding principles for future development. AI
IMPACT Proposes a new framework for integrating AI into MBSE, potentially improving AI's utility in systems engineering workflows.
RANK_REASON This is a research paper discussing a new methodology for AI integration in MBSE.
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