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Forthcoming Papers
2005
Artificial Intelligence
On the revision of probabilistic beliefs using uncertain evidence We revisit the problem of revising probabilistic beliefs using uncertain evidence, and report results on several major issues relating to this problem: how should one specify uncertain evidence? How should one revise a probability distribution? How should one interpret informal evidential statements? Should, and do, iterated belief revisions commute? And what guarantees can be offered on the amount of belief change induced by a
doi:10.1016/j.artint.2004.12.001
fatcat:msj5iuiqgzhtlmsunydxvwafvm