Metasynthesis: M-Space, M-Interaction, and M-Computing for Open Complex Giant Systems | |
Cao, Longbing; Dai, Ruwei; Zhou, Mengchu | |
刊名 | IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS
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2009-09-01 | |
卷号 | 39期号:5;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 |
文献子类 | Article |
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研究方向 | Computer Science |
语种 | 英语 |
WOS记录号 | WOS:000269155600006 |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/40964] ![]() |
专题 | 自动化研究所_复杂系统管理与控制国家重点实验室 |
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;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;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;5(2009):1007-1021. |
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