Belief revision theory is a formal framework for modelling rational belief change in the light of new information. Belief change is characterised in terms of revision operations governing the transitions between belief states, and the theory aims at providing structural requirements ensuring that such revision operations are well-behaved. Formal learning theory, on the other hand, is concerned with the question of which methods for acquiring new information lead, reliably and efficiently, to correct beliefs about one’s environment. This talk will review the connections between these two paradigms in formal epistemology, and show how different belief-revision policies can be assessed on the basis of their learning power. 

 

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