✦ LIBER ✦

On modeling of if-then rules for probabilistic inference

✍ Scribed by Hung T. Nguyen; I. R. Goodman

Publisher: John Wiley and Sons
Year: 1994
Tongue: English
Weight: 417 KB
Volume: 9
Category: Article
ISSN: 0884-8173
DOI: 10.1002/int.4550090406

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✦ Synopsis

We identify various situations in probabilistic intelligent systems in which conditionals (rules) as mathematical entities as well as their conditional logic operations are needed. In discussing Bayesian updating procedure and belief function construction, we provide a new method for modeling if. . . then rules as Boolean elements, and yet, compatible with conditional probability quantifications.

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