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Workshops

The purpose of workshops is to provide a more interactive and focused platform for presenting and discussing new and emerging ideas. The format of paper presentations may include oral presentations, poster presentations, keynote lectures and panels. Depending on the number of presentations, workshops can be scheduled for 1 day or 2 days. All accepted papers will be published in a special section of the conference proceedings book, under an ISBN reference, and on digital support. All papers presented at the conference venue will be available at the SCITEPRESS Digital Library. SCITEPRESS is a member of CrossRef and every paper is given a DOI (Digital Object Identifier). The proceedings are submitted for indexation by SCOPUS, Google Scholar, DBLP, Semantic Scholar, EI and Web of Science / Conference Proceedings Citation Index.

WORKSHOPS LIST

MBSE-AI Integration 2024Workshop on Model-based System Engineering and Artificial Intelligence
Chair(s): Afef Awadid, Olivia Penas, Mohamed Ibn Khedher and Bertrand Braunschweig

Workshop on
Model-based System Engineering and Artificial Intelligence
 - MBSE-AI Integration 2024

Paper Submission: January 2, 2024 (expired)
Authors Notification: January 9, 2024 (expired)
Camera Ready and Registration: January 17, 2024 (expired)

Co-chairs

Afef Awadid
Technological Research Institute SystemX
France
 
Olivia Penas
Technological Research Institute SystemX
France
 
Mohamed Ibn Khedher
Technological Research Institute SystemX
France
 
Bertrand Braunschweig
Technological Research Institute SystemX
France
 
Scope

AI-empowered MBSE (Model-based System Engineering)" is increasingly advocated as a promising approach to overcome MBSE challenges and to promote high-quality systems. At the same time, recent research projects such as the program "Confiance.ai" https://www.confiance.ai/ advocate an MBSE-empowered AI as a way to build trustworthy AI systems.
This workshop will be the opportunity to discuss how to choose, apply, evaluate and adapt AI techniques to support MBSE and how to adopt an MBSE approach to produce high-quality and reliable AI systems. Thus, “AI for MBSE” and “MBSE for AI” are both in the scope of the proposed workshop.



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