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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