✦ LIBER ✦

On dynamics of cautious belief and conditional objects

✍ Scribed by Hung T. Nguyen; Philippe Smets

Publisher: Elsevier Science
Year: 1993
Tongue: English
Weight: 707 KB
Volume: 8
Category: Article
ISSN: 0888-613X
DOI: 10.1016/0888-613x(93)90022-6

No coin nor oath required. For personal study only.

✦ Synopsis

The concept of knowledge or belief so important in Artificial Intelligence (AI) has been discussed in depth by philosophers, exemplified by Giirdenfors [1]. Whereas it is useful to have a broad view on the topic, it is also necessary to look at concrete models (eg, numerical modeling of degrees of belie]). In this paper, we will discuss the cautious aspect of Shafer's approach to belief modeling and investigate conditionals in the context of belief dynamics. In particular, we show that Dempster's rule of conditioning produces the least committed belief function among the set of belief functions generated by conditional objects, thus providing a justification for its use.

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