What is a deep expert system? An analysis of first-generation limitations and a review of second-generation architectures

Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/1774

Title:	What is a deep expert system? An analysis of first-generation limitations and a review of second-generation architectures
Authors:	Keravnou-Papailiou, Elpida
Keywords:	Expert systems (Computer science);Computer architecture;Computer science
Issue Date:	1990
Source:	Computer physics communications, 1990, Volume 61, Issues 1–2, Pages 3–12
Abstract:	First-generation expert systems have significant limitations, attributed to their not being sufficiently deep. This paper attempts to clarify the concept of deepness with respect to expert systems, by analysing the limitations of first-generation expert systems and reviewing proposed architectures for second-generation expert systems. Inherent in each architecture is a definition of deepness
URI:	https://hdl.handle.net/20.500.14279/1774
ISSN:	0010-4655
DOI:	http://dx.doi.org/10.1016/0010-4655(90)90102-7
Rights:	© 1990 Published by Elsevier B.V.
Type:	Article
Affiliation:	University College London
Appears in Collections:	Άρθρα/Articles

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