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https://hdl.handle.net/20.500.14279/1774| Τίτλος: | What is a deep expert system? An analysis of first-generation limitations and a review of second-generation architectures | Συγγραφείς: | Keravnou-Papailiou, Elpida | Λέξεις-κλειδιά: | Expert systems (Computer science);Computer architecture;Computer science | Ημερομηνία Έκδοσης: | 1990 | Πηγή: | Computer physics communications, 1990, Volume 61, Issues 1–2, Pages 3–12 | Περίληψη: | 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 |
| Εμφανίζεται στις συλλογές: | Άρθρα/Articles |
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