Title :
Causal reasoning with continuous uncertain quantities
Author_Institution :
Dept. of Comput. Sci., California Univ., Los Angeles, CA, USA
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;
Conference_Titel :
Artificial Intelligence Applications, 1988., Proceedings of the Fourth Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-8186-0837-4
DOI :
10.1109/CAIA.1988.196146
