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PrDLs: A new kind of probabilistic description logics about belief
Jia, Tao ; Zhao, Wen ; Wang, Hanpin ; Wang, Lifu
2007
关键词reasoning under uncertainty,description logics model-based reasoning ontology Probabilistic knowledge representation MODELING BELIEF DYNAMIC-SYSTEMS KNOWLEDGE
英文摘要It is generally accepted that knowledge based systems would be smarter if they can deal with uncertainty. Some research has been done to extend Description Logics(DLs) towards the management of uncertainty, most of which concerned the statistical information such as "The probability that a randomly chosen bird flies is greater than 0.9". In this paper, we present a new kind of extended DLs to describe degrees of belief such as "The probability that all plastic objects float is 0.3". We also introduce the extended tableau algorithm for PrALC as an example to compute the probability of the implicit knowledge.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000248621400064&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Computer Science, Artificial Intelligence; CPCI-S(ISTP); 0
语种英语
内容类型其他
源URL[http://ir.pku.edu.cn/handle/20.500.11897/293349]  
专题信息科学技术学院
推荐引用方式
GB/T 7714
Jia, Tao,Zhao, Wen,Wang, Hanpin,et al. PrDLs: A new kind of probabilistic description logics about belief. 2007-01-01.
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