[1]CHEN Wen-wei,HUANG Jin-cai,BI Ji-ming.A study on metaknowledge suitable for a changing environment[J].CAAI Transactions on Intelligent Systems,2009,4(4):331-334.
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A study on metaknowledge suitable for a changing environment

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 4 Number of periods: 2009 4 Page number: 331-334 Column: 学术论文—知识工程 Public date: 2009-08-25
Title:
A study on metaknowledge suitable for a changing environment
Author(s):
CHEN Wen-wei1; 2;  HUANG Jin-cai1;  BI Ji-ming2 
1.College of Information System and Management，National University of Defense Technology, Changsha 410073，China；
2.Department of Campaign and Command, Naval Arms Command Academy， Guangzhou 510431,China
Keywords:
metaknowledge;  transform production;  extension knowledge;  contradictory question;  knowledge discovery in database;  expert system
CLC:
TP181
DOI:
-
Abstract:
Metaknowledge is a form of knowledge for describing and applying general knowledge. It is in a continually changing state. The authors proposed a new method to represent metaknowledge using transformproduction, or extension knowledge. Compared with traditional metaknowledge representational methods using rule implication, extension knowledge is more suitable for changing environments. In solving contradictory problems with new metaknowledge, in essence, goaltransform ( TG)or conditiontransform (TL) triggers the transform of a related function’s value (TK(P)). The application of new metaknowledge to knowledge discovery in a database shows that the transform of attribute reduction (Treduc) depends on the computational result of operator ASGF（Ci）. Knowledge acquisition based on a rough set is dependent on the computational value of operator Aupdow（Ei ，Yj）. Extension knowledge is also suitable for representing metaknowledge in order to control the operation of expert systems. It is obvious that the new method, which employs transformproduction to represent metaknowledge, plays an instructive role in summarizing and solving such problems.
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