云计算中的群体智能与不确定性知识表示(英文)

被引:4
作者
刘玉超 [1 ,2 ]
张海粟 [3 ]
马于涛 [2 ,4 ]
李德毅 [1 ]
陈桂生 [2 ]
机构
[1] Department of Computer Science and Technology, Tsinghua University
[2] lnstitute of Electronic System Engineering
[3] College of Command Automation, PLA University of Science and Technology
[4] State Key Lab of Software Engineering, Wuhan University
关键词
collective intelligence; social annotation; common sense; uncertain knowledge representation;
D O I
暂无
中图分类号
TP18 [人工智能理论]; TP3 [计算技术、计算机技术];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The lasting evolution of computing environment, software engineering and interaction methods leads to cloud computing. Cloud computing changes the configuration mode of resources on the Internet and all kinds of resources are virtualized and provided as services. Mass participation and online interaction with social annotations become usual in human daily life. People who own similar interests on the Internet may cluster naturally into scalable and boundless communities and collective intelligence will emerge. Human is taken as an intelligent computing factor, and uncertainty becomes a basic property in cloud computing. Virtualization, soft computing and granular computing will become essential features of cloud computing. Compared with the engineering technological problems of IaaS (Infrastructure as a service), PaaS (Platform as a Service) and SaaS (Software as a Service), collective intelligence and uncertain knowledge representation will be more important frontiers in cloud computing for researchers within the community of intelligence science.
引用
收藏
页码:58 / 66
页数:9
相关论文
共 3 条
[1]   隶属云和隶属云发生器 [J].
李德毅,孟海军,史雪梅 .
计算机研究与发展 , 1995, (06) :15-20
[2]  
Finding communities in linear time: a physics approach[J] . F. Wu,B. A. Huberman.The European Physical Journal B . 2004 (2)
[3]   ROUGH SETS [J].
PAWLAK, Z .
INTERNATIONAL JOURNAL OF COMPUTER & INFORMATION SCIENCES, 1982, 11 (05) :341-356