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
more » ... rticular revision? Our discussion is focused on two main methods for probabilistic revision: Jeffrey's rule of probability kinematics and Pearl's method of virtual evidence, where we analyze and unify these methods from the perspective of the questions posed above.  2004 Published by Elsevier B.V.
doi:10.1016/j.artint.2004.12.001 fatcat:msj5iuiqgzhtlmsunydxvwafvm