Why Model Credibility Isn't Enough: Rethinking Trust in Simulation Architectures
- 提供方法
- 本サイト上にてダウンロード・閲覧可
- 形態
- 価格
- 一般価格(税込)：￥1,100 会員価格(税込)：￥880
- 文献番号
- 20265033
- 文献・情報種別
- 学術講演会予稿集（春）
No.7-26
- 掲載ページ
- 1-8(Total 8 p)
- 発行年月
- 2026年 5月
- 出版社
- (公社)自動車技術会
- 言語
- 英語
- イベント
- 2026年春季大会
書誌事項
| 著者 | 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 |
|---|---|
| 著者（英） | 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 |
| 勤務先 | 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 |
| 勤務先（英） | 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 |
| 抄録（英） | 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. 翻訳 |
