Abstract
The conventional rule-based expert system (ES) paradigm has been criticized because of its inability to display characteristics of true intelligence and its relatively static knowledge storehouse and dependence on rote-learned rule fragments as a basis for reasoning. An approach to constructing self-adjusting ESs is described. Self-adjusting ESs are characterized by their dynamic knowledge bases that improve with experience and their ability to pursue unfocused reasoning. An implementation of the paradigm is examined and its traits in light of the criticisms leveled against its predecessor are evaluated.
Original language | English |
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Title of host publication | Proceedings of the 26th Hawaii International Conference on System Sciences, HICSS 1993 |
Pages | 344-357 |
Number of pages | 14 |
ISBN (Electronic) | 0818632305 |
DOIs | |
State | Published - 1993 |
Event | 26th Hawaii International Conference on System Sciences, HICSS 1993 - Wailea, United States Duration: Jan 8 1993 → … |
Publication series
Name | Proceedings of the Annual Hawaii International Conference on System Sciences |
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Volume | 3 |
ISSN (Print) | 1530-1605 |
Conference
Conference | 26th Hawaii International Conference on System Sciences, HICSS 1993 |
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Country/Territory | United States |
City | Wailea |
Period | 1/8/93 → … |
Bibliographical note
Publisher Copyright:© 1993 IEEE.
ASJC Scopus subject areas
- General Engineering