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Evolving Systems of Knowledge
Author(s) -
Sridharan N. S.
Publication year - 1985
Publication title -
ai magazine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.597
H-Index - 79
eISSN - 2371-9621
pISSN - 0738-4602
DOI - 10.1609/aimag.v6i3.493
Subject(s) - popularity , scope (computer science) , statement (logic) , computer science , perspective (graphical) , knowledge management , problem statement , representation (politics) , knowledge representation and reasoning , data science , management science , artificial intelligence , epistemology , engineering , political science , programming language , philosophy , politics , law
The enterprise of developing knowledge‐based systems is currently witnessing great growth in popularity. The central unity of many such programs is that they interpret knowledge that is explicitly encoded as rules While rule‐based programming comes with certain clear pay‐offs, further fundamental advances in research are needed to extend the scope of tasks that can be adequately represented in this fashion This article is a statement of personal perspective by a researcher interested in fundamental issues in the symbolic representation and organization of knowledge

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