The author has proposed a rule of probability revision dictating that identical learning be reflected in identical ratios of new to old odds. Following this rule ensures that the final result of a sequence of probability revisions is undisturbed by an alteration in the temporal order of the learning prompting these revisions. There is also a close connection between this rule and an intriguing metric on probability measures introduced by Chan and Darwiche. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Wagner, C. G. (2008). Probability revision, the uniformity rule, and the Chan-Darwiche metric. Advances in Soft Computing, 48, 74–79. https://doi.org/10.1007/978-3-540-85027-4_10
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