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Primitive dyadic (two-place) probability functions have been proposed both as representations of conditional probability and as tools for modelling iterated probability revision. However, the usefulness of dyadic probability functions for these purposes is limited by the problems involved in updating with propositions whose prior probability is zero. These limitations are investigated and specified. They turn out to be more serious for the use of dyadic probability functions to represent probability revision than for their use as representations of conditional probability.

Iterated probability revision and the limitations of dyadic probability