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authors Rosenman, Michael A., Balachandran, M.B. and John S. Gero
year 1989
title Prototype Based Expert Systems
source University of Sydney, 1989. pp. 179-199
summary Expert systems made use of rules systems to represent causal knowledge. They were criticized for the shallowness of their knowledge. Hybrid systems were built which combined the capabilities of frames (or semantic nets) to add some deeper conceptual knowledge. This paper proposes that a prototype- based expert system using prototype schemas to represent generalized experiential knowledge can better provide the deeper knowledge necessary. By providing such a central framework it is argued that this allows for the integration of syntactical systems, such as CAD systems, with interpretative knowledge bases or other procedures
keywords knowledge base, expert systems, prototypes
series CADline
email john@arch.usyd.edu.au
references Content-type: text/plain
last changed 2003/06/02 11:58
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