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authors McCalla, Gordon and Cercone, Nick
year 1983
title Approaches to Knowledge Representation
source IEEE Computer. October, 1983. vol. 16: pp. 12-18 : ill. includes bibliography
summary In contrast to conventional database systems, AI systems require a knowledge base with diverse kinds of knowledge. These include, but are not limited to knowledge about objects, knowledge about processes, and hard to represent common sense knowledge about goals, motivations, causality, time, actions etc. This article is an introduction to a special issue in which 15 articles contributed by a broad spectrum of researchers discuss various aspects of knowledge representation. It gives some background and context to these articles by mapping out the basic approaches to knowledge representation that have developed over the years
keywords knowledge, representation, AI
series CADline
references Content-type: text/plain
last changed 2003/06/02 11:58
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