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

Producción científica: Conference contribution › revisión exhaustiva

Resumen

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.

Idioma original	English
Título de la publicación alojada	Proceedings of the 26th Hawaii International Conference on System Sciences, HICSS 1993
Páginas	344-357
Número de páginas	14
ISBN (versión digital)	0818632305
DOI	https://doi.org/10.1109/HICSS.1993.284330
Estado	Published - 1993
Evento	26th Hawaii International Conference on System Sciences, HICSS 1993 - Wailea, United States Duración: ene 8 1993 → …

Serie de la publicación

Nombre	Proceedings of the Annual Hawaii International Conference on System Sciences
Volumen	3
ISSN (versión impresa)	1530-1605

Conference

Conference	26th Hawaii International Conference on System Sciences, HICSS 1993
País/Territorio	United States
Ciudad	Wailea
Período	1/8/93 → …

Nota bibliográfica

Publisher Copyright:
© 1993 IEEE.

ASJC Scopus subject areas

General Engineering

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10.1109/HICSS.1993.284330

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Pakath, R 1993, Genetics-based self-adjusting expert systems. En 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

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Genetics-based self-adjusting expert systems

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