Revising Weighted Knowledge Bases Using FH-Conditioning
Résumé
Conditioning is an important task for updating and revising uncertain information when new information, often considered reliable, is added. This paper deals with the so-called Fagin and Halpern (FH-)conditioning within the framework of possibility theory. We discuss in particular the computation of FH-conditioning when it is applied to weighted knowledge bases. We also compare FH-conditioning with the two forms of standard possibilistic conditioning (min-based conditioning and product-based conditioning).
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