Decaying confidence functions for aging knowledge in expert systems
Book
·
OSTI ID:5384603
Expert systems that maintain knowledge about objects whose attributes are time-variant must have an awareness of time. This awareness can be made manifest by incorporating time in the quantification of uncertainty of aging knowledge about such objects. Many expert systems use some method to quantify the degree of belief, or uncertainty, of their knowledge. Examples of these methods include Bayesian probability theory, certainty factors of EMYCIN, the Dempster-Shafer theory, and fuzzy-set theory. These methods offer different representations for measures of confidence and different calculi for combining these measures. The authors describe an extension to such confidence measures by adding a dimension of time. They propose the concept of ''decaying confidence functions'' to express the time-varying uncertainty of aging knowledge.
- OSTI ID:
- 5384603
- Country of Publication:
- United States
- Language:
- English
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