Metasynthesis: M-Space, M-Interaction, and M-Computing for Open Complex Giant Systems

CORC > 自动化研究所 > 中国科学院自动化研究所 > 复杂系统管理与控制国家重点实验室 > 复杂系统研究团队

	Metasynthesis: M-Space, M-Interaction, and M-Computing for Open Complex Giant Systems
	Cao, Longbing 1; Dai, Ruwei2 ; Zhou, Mengchu 3,4
刊名	IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS
	2009-09-01
卷号	39 期号:5 页码:1007-1021
关键词	Complex systems human-computer interaction metasynthesis social intelligence engineering open complex giant systems (OCGSs) social cognitive interaction
英文摘要	The studies of complex systems have been recognized as one of the greatest challenges for current and future science and technology. Open complex giant systems (OCGSs) are a family of specially complex systems with system complexities such as openness, human involvement, societal characteristic, and intelligence emergence. They greatly challenge multiple disciplines such as system sciences, system engineering, cognitive sciences, information systems, artificial intelligence, and computer sciences. As a result, traditional problem-solving methodologies can help deal with them but are far from a mature solution methodology. The theory of qualitative-to-quantitative metasynthesis has been proposed as a breakthrough and effective methodology for the understanding and problem solving of OCGSs. In this paper, we propose the concepts of M-Interaction, M-Space, and M-Computing which are three key components for studying OCGS and building problem-solving systems. M-Interaction forms the main problem-solving mechanism of qualitative-to-quantitative metasynthesis; M-Space is the OCGS problem-solving system embedded with M-Interactions, while M-Computing consists of engineering approaches to the analysis, design, and implementation of M-Space and M-Interaction. We discuss the theoretical framework, problem-solving process, social cognitive evolution, intelligence emergence, and pitfalls of certain types of cognitions in developing M-Space and M-Interaction from the perspectives of cognitive sciences and social cognitive interaction. These can help one understand complex systems and develop effective problem-solving methodologies.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Computer Science, Cybernetics ; Computer Science, Theory & Methods
研究领域[WOS]	Computer Science
收录类别	SCI
语种	英语
WOS记录号	WOS:000269155600006
公开日期	2015-12-24
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/9712]
专题	自动化研究所_复杂系统管理与控制国家重点实验室_复杂系统研究团队
作者单位	1.Univ Technol Sydney, Sch Software, Sydney, NSW 2007, Australia 2.Chinese Acad Sci, Inst Automat, Beijing 100080, Peoples R China 3.New Jersey Inst Technol, Dept Elect & Comp Engn, Newark, NJ 07102 USA 4.Xidian Univ, Sch Electromech Engn, Xian 710071, Peoples R China
推荐引用方式 GB/T 7714	Cao, Longbing,Dai, Ruwei,Zhou, Mengchu. Metasynthesis: M-Space, M-Interaction, and M-Computing for Open Complex Giant Systems[J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS,2009,39(5):1007-1021.
APA	Cao, Longbing,Dai, Ruwei,&Zhou, Mengchu.(2009).Metasynthesis: M-Space, M-Interaction, and M-Computing for Open Complex Giant Systems.IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS,39(5),1007-1021.
MLA	Cao, Longbing,et al."Metasynthesis: M-Space, M-Interaction, and M-Computing for Open Complex Giant Systems".IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS 39.5(2009):1007-1021.