A Novel Scenarios Engineering Methodology for Foundation Models in Metaverse

doi:10.1109/TSMC.2022.3228594

CORC > 自动化研究所 > 中国科学院自动化研究所 > 多模态人工智能系统全国重点实验室

	A Novel Scenarios Engineering Methodology for Foundation Models in Metaverse
	Li, Xuan 2; Tian, Yonglin 1; Ye, Peijun 1; Duan, Haibin 2,3; Wang, Fei-Yue 1
刊名	IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
	2023-04-01
卷号	53 期号:4 页码:2148-2159
关键词	Foundation models knowledge automation management metaverse parallel intelligence scenarios engineering (SE)
ISSN号	2168-2216
DOI	10.1109/TSMC.2022.3228594
通讯作者	Duan, Haibin(hbduan@buaa.edu.cn)
英文摘要	Foundation models are used to train a broad system of general data to build adaptations to new bottlenecks. Typically, they contain hundreds of billions of hyperparameters that have been trained with hundreds of gigabytes of data. However, this type of black-box vulnerability places foundation models at risk of data poisoning attacks that are designed to pass on misinformation or purposely introduce machine bias. Moreover, ordinary researchers have not been able to completely participate due to the rise in deployment standards. This study introduces the theoretical framework of scenarios engineering (SE) for building accessible and reliable foundation models in metaverse, namely, "SE-enabled foundation models in metaverse." Particularly, the research framework comprises a six-layer architecture (infrastructure layer, operation layer, knowledge layer, intelligence layer, management layer, and interaction layer), which can provide controllability, trustworthiness, and interactivity for the foundation models in metaverse. This creates closed-loop, virtual-real, and human-machine environments that provides the best indices and goals for the foundation models, which allows us to fully validate and calibrate the corresponding models. Then, examples of use cases from the automotive industry are listed to provide transparency on the possible use and benefits of our approach. Finally, the open research topics of related frameworks are discussed.
资助项目	Science and Technology Innovation 2030-Key Project of New Generation Artificial Intelligence[2018AAA0102303] ; Science and Technology Development Fund, Macau SAR[0050/2020/A1] ; International Partnership Program of The Chinese Academy of Sciences[GJHZ202112] ; National Natural Science Foundation of China[62203250] ; National Natural Science Foundation of China[U20B2071] ; National Natural Science Foundation of China[U1913602] ; National Natural Science Foundation of China[91948204] ; National Natural Science Foundation of China[T2121003] ; National Natural Science Foundation of China[62076237] ; National Natural Science Foundation of China[T2192933] ; Young Elite Scientists Sponsorship Program of China Association of Science and Technology[YESS20210289] ; China Postdoctoral Science Foundation[2020TQ1057] ; China Postdoctoral Science Foundation[2020M682823]
WOS关键词	INTELLIGENT ; ECOLOGY ; CPS
WOS研究方向	Automation & Control Systems ; Computer Science
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:001032427700014
资助机构	Science and Technology Innovation 2030-Key Project of New Generation Artificial Intelligence ; Science and Technology Development Fund, Macau SAR ; International Partnership Program of The Chinese Academy of Sciences ; National Natural Science Foundation of China ; Young Elite Scientists Sponsorship Program of China Association of Science and Technology ; China Postdoctoral Science Foundation
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/53801]
专题	多模态人工智能系统全国重点实验室
通讯作者	Duan, Haibin
作者单位	1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Peng Cheng Lab, Dept Math & Theories, Shenzhen 518000, Peoples R China 3.Beihang Univ, Sch Automat Sci & Elect Engn, Key Lab Virtual Real Technol & Syst, Beijing 100083, Chin, Myanmar
推荐引用方式 GB/T 7714	Li, Xuan,Tian, Yonglin,Ye, Peijun,et al. A Novel Scenarios Engineering Methodology for Foundation Models in Metaverse[J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,2023,53(4):2148-2159.
APA	Li, Xuan,Tian, Yonglin,Ye, Peijun,Duan, Haibin,&Wang, Fei-Yue.(2023).A Novel Scenarios Engineering Methodology for Foundation Models in Metaverse.IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,53(4),2148-2159.
MLA	Li, Xuan,et al."A Novel Scenarios Engineering Methodology for Foundation Models in Metaverse".IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 53.4(2023):2148-2159.