 Most models of belief change are deterministic in the sense that given a belief set and an input, the resulting belief set is well-determined. There is no scope for chance in selecting the new belief set. Clearly, this is not a realistic feature, but it makes the models much simpler and easier to handle, not least from a computational point of view. In indeterministic belief change, the subjection of a specified belief set to a specified input has more than one admissible outcome.