Why Model Credibility Isn't Enough: Rethinking Trust in Simulation Architectures
- Delivery
- Available on this site
- Format
- Price
- Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880
- Publication code
- 20265033
- Paper/Info type
- Proceedings (Spring)
No.7-26
- Pages
- 1-8(Total 8 p)
- Date of publication
- May 2026
- Publisher
- JSAE
- Language
- English
- Event
- 2026 JSAE Annual Congress (Spring)
Detailed Information
| Author(J) | 1) Romain Barbedienne, 2) Adeline Lanugue, 3) Rim Kaddah, 4) Julien Silande, 5) Anthony Levillain, 6) Cedric Leclerc, 7) Maxime Hayet, 8) Boussaad Soualmi, 9) Cristian Maxim |
|---|---|
| Author(E) | 1) Romain Barbedienne, 2) Adeline Lanugue, 3) Rim Kaddah, 4) Julien Silande, 5) Anthony Levillain, 6) Cedric Leclerc, 7) Maxime Hayet, 8) Boussaad Soualmi, 9) Cristian Maxim |
| Affiliation(J) | 1) IRT SystemX, 2) IRT SystemX, 3) IRT SystemX, 4) IRT SystemX/Keysight Technology, 5) OPmobility Alphatech, 6) Renault Technocentre, 7) Stellantis, 8) IRT SystemX, 9) IRT SystemX |
| Affiliation(E) | 1) IRT SystemX, 2) IRT SystemX, 3) IRT SystemX, 4) IRT SystemX/Keysight Technology, 5) OPmobility Alphatech, 6) Renault Technocentre, 7) Stellantis, 8) IRT SystemX, 9) IRT SystemX |
| Abstract(E) | Assessing the credibility of simulation models is crucial, yet models are often integrated within broader simulation architectures. Can the credibility of simulation architectures be derived from their constituent models? This paper explores this question by reviewing state-of-the-art approaches in assembly credibility, including sensitivity analysis, expert qualitative analysis, AI explainability, and network-based methods. Each approach is evaluated according to "rigor", "generalizability", and "resource requirements", highlighting their respective strengths and limitations. The analysis provides insights into the feasibility and challenges of assessing architectural credibility, offering a foundation for future research in this emerging field. |
