HIGH-FIDELITY KNOWLEDGE SYSTEMS

被引:4
|
作者
SOH, CK
SOH, AK
LAI, KY
机构
[1] NANYANG TECHNOL UNIV, SCH CIVIL & STRUCT ENGN, SINGAPORE 2263, SINGAPORE
[2] NANYANG TECHNOL UNIV, GINTIC INST MFG TECHNOL, SINGAPORE 2263, SINGAPORE
[3] MIT, CAMBRIDGE, MA 02139 USA
关键词
HIGH FIDELITY; ARTIFICIAL INTELLIGENCE; EXPERT SYSTEMS; KNOWLEDGE-BASED SYSTEMS; OBJECT-ORIENTATED SYSTEMS; SCHEDULING SYSTEMS;
D O I
10.1016/0965-9978(93)90004-D
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Knowledge systems are permeating into practical use, but they can only pay off if users can easily use and understand them. Most contemporary knowledge systems emphasize only the semantic correctness of representations and inference mechanisms. We believe that an increasingly important, but not yet widely appreciated, class of knowledge systems is that of high fidelity knowledge systems whose representations and processes closely resemble the objects and work processes that people now already use. Such systems are much more likely to be accepted into real use, and offer a high potential for reaping the benefits of knowledge system technology. In this paper, we describe Hypertelligence, an environment for building high fidelity knowledge systems. Hypertelligence makes use of two converging technologies: hypertext and object-based artificial intelligence. We also illustrate the idea of high fidelity and the potential of Hypertelligence with an implemented system for selecting construction scheduling programs.
引用
收藏
页码:15 / 29
页数:15
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