Genetics-based self-adjusting expert systems

Ramakrishnan Pakath

doi:10.1109/HICSS.1993.284330

Genetics-based self-adjusting expert systems

Ramakrishnan Pakath

Finance and Quantitative Methods

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
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	https://doi.org/10.1109/HICSS.1993.284330
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
Volume	3
ISSN (Print)	1530-1605

Conference

Conference	26th Hawaii International Conference on System Sciences, HICSS 1993
Country/Territory	United States
City	Wailea
Period	1/8/93 → …

Bibliographical note

Publisher Copyright:
© 1993 IEEE.

ASJC Scopus subject areas

General Engineering

Access to Document

10.1109/HICSS.1993.284330

Cite this

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title = "Genetics-based self-adjusting expert systems",

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.",

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doi = "10.1109/HICSS.1993.284330",

language = "English",

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Pakath, R 1993, Genetics-based self-adjusting expert systems. in Proceedings of the 26th Hawaii International Conference on System Sciences, HICSS 1993., 284330, Proceedings of the Annual Hawaii International Conference on System Sciences, vol. 3, pp. 344-357, 26th Hawaii International Conference on System Sciences, HICSS 1993, Wailea, United States, 1/8/93. https://doi.org/10.1109/HICSS.1993.284330

Genetics-based self-adjusting expert systems. / Pakath, Ramakrishnan.
Proceedings of the 26th Hawaii International Conference on System Sciences, HICSS 1993. 1993. p. 344-357 284330 (Proceedings of the Annual Hawaii International Conference on System Sciences; Vol. 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Genetics-based self-adjusting expert systems

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

Access to Document

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