A Framework For Iterated Belief Revision Using Possibilistic Counterparts To Jeffrey'S Rule

Publisher:
IOS Press
Publication Type:
Journal Article
Citation:
Fundamenta Informaticae, 2010, 99 (2), pp. 147 - 168
Issue Date:
2010-01
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Intelligent agents require methods to revise their epistemic state as they acquire new information. Jeffrey's rule, which extends conditioning to probabilistic inputs, is appropriate for revising probabilistic epistemic states when new information comes
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