A Novel Scenarios Engineering Methodology for Foundation Models in Metaverse

doi:10.1109/TSMC.2022.3228594

	A Novel Scenarios Engineering Methodology for Foundation Models in Metaverse
	Li, Xuan 1; Tian, Yonglin2 ; Ye, Peijun2 ; Duan, Haibin 1,3; Wang, Fei-Yue2
发表期刊	IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
ISSN	2168-2216
	2023-04-01
卷号	53 期号:4 页码:2148-2159
通讯作者	Duan, Haibin(hbduan@buaa.edu.cn)
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.
关键词	Foundation models knowledge automation management metaverse parallel intelligence scenarios engineering (SE)
DOI	10.1109/TSMC.2022.3228594
关键词[WOS]	INTELLIGENT ; ECOLOGY ; CPS
收录类别	SCI
语种	英语
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]
项目资助者	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
WOS研究方向	Automation & Control Systems ; Computer Science
WOS类目	Automation & Control Systems ; Computer Science, Cybernetics
WOS记录号	WOS:001032427700014
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：46[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/53802
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.Peng Cheng Lab, Dept Math & Theories, Shenzhen 518000, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, 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.