Probability Revision, the Uniformity Rule, and the Chan-Darwiche Metric
نویسنده
چکیده
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.
منابع مشابه
Revisiting the Problem of Belief Revision with Uncertain Evidence
We revisit the problem of revising probabilistic beliefs using uncertain evidence, and report results on four major issues relating to this problem: How to specify uncertain evidence? How to revise a distribution? Should, and do, iterated belief revisions commute? And how to provide guarantees on the amount of belief change induced by a revision? Our discussion is focused on two main methods fo...
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A simple rule of probability revision ensures that the final result of a se? quence of probability revisions is undisturbed by an alteration in the temporal order of the learning prompting those revisions. This Uniformity Rule dictates that identical learning be reflected in identical ratios of certain new-to-old odds, and is grounded in the old Bayesian idea that such ratios represent what is ...
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