Genetics-based self-adjusting expert systems

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 languageEnglish
Title of host publicationProceedings of the 26th Hawaii International Conference on System Sciences, HICSS 1993
Pages344-357
Number of pages14
ISBN (Electronic)0818632305
DOIs
StatePublished - 1993
Event26th Hawaii International Conference on System Sciences, HICSS 1993 - Wailea, United States
Duration: Jan 8 1993 → …

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
Volume3
ISSN (Print)1530-1605

Conference

Conference26th Hawaii International Conference on System Sciences, HICSS 1993
Country/TerritoryUnited States
CityWailea
Period1/8/93 → …

Bibliographical note

Publisher Copyright:
© 1993 IEEE.

ASJC Scopus subject areas

  • General Engineering

Fingerprint

Dive into the research topics of 'Genetics-based self-adjusting expert systems'. Together they form a unique fingerprint.

Cite this