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.
|Title of host publication||Proceedings of the 26th Hawaii International Conference on System Sciences, HICSS 1993|
|Number of pages||14|
|State||Published - 1993|
|Event||26th Hawaii International Conference on System Sciences, HICSS 1993 - Wailea, United States|
Duration: Jan 8 1993 → …
|Name||Proceedings of the Annual Hawaii International Conference on System Sciences|
|Conference||26th Hawaii International Conference on System Sciences, HICSS 1993|
|Period||1/8/93 → …|
Bibliographical notePublisher Copyright:
© 1993 IEEE.
ASJC Scopus subject areas
- Engineering (all)