DocumentCode
2991450
Title
Causal reasoning with continuous uncertain quantities
Author
Pearl, Judea
Author_Institution
Dept. of Comput. Sci., California Univ., Los Angeles, CA, USA
fYear
1988
fDate
14-18 Mar 1988
Firstpage
418
Lastpage
420
Abstract
The author considers an idealized model of causal schemata that facilitates the estimation of uncertain continuous variables by local and unsupervised computations. The updating rules dictated by this model reveal general strategies of reasoning, suitable for combining estimates from diverse, unreliable sources. The rules admit flexible control strategies and facilitate the generation of intuitively meaningful explanations, with a minimum of arithmetic machinery
Keywords
knowledge engineering; causal reasoning; causal schemata; continuous uncertain quantities; knowledge engineering; uncertain continuous variables; updating rules; Arithmetic; Computer science; Diversity reception; Encoding; Humans; Laboratories; Machinery; Physics; Quality management; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence Applications, 1988., Proceedings of the Fourth Conference on
Conference_Location
San Diego, CA
Print_ISBN
0-8186-0837-4
Type
conf
DOI
10.1109/CAIA.1988.196146
Filename
196146
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