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AAAI 1992

A Belief-Function Logic

Conference Paper Representation and Reasoning: Belief Artificial Intelligence

Abstract

We present BFL, a hybrid logic for representing uncertain knowledge. BFL attaches a quantified notion of belief - based on Dempster-Shafer’ s theory of belief functions - to classical first-order logic. The language of BFL is composed of objects of the form F: [a, b], where F is a first-order sentence, and Q and b are numbers in the [O, l] interval (with c&b). Intuitively, a measures the strength of our belief in the truth of F, and (lb) that in its falseness. A number of properties of first-order logic nicely generalize to BFL; in return, BFL gives us a new perspective on some important points of Dempster-Shafer theory (e. g. , the role of Dempster’ s combination rule).

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Context

Venue
AAAI Conference on Artificial Intelligence
Archive span
1980-2026
Indexed papers
28718
Paper id
352440547069483847