 In belief revision theory, the focus is on consistency rather than truthfulness. In contrast, learning theory is devoted to induction and the attainment of true beliefs. A research question is represented as a partition of the set of possible worlds, i.e. a distribution of all possible worlds into non-overlapping sets. The research question has been fully answered when it is known which of these partitions contains the actual world. Information received by the agent successively narrows down the set of partitions that may contain it. The central issue is how to construct an inductive strategy, i.e. a strategy for which investigations to perform and in what order, and how to interpret them (Kelly 1999). Although this problem has connections with belief revision, operations not satisfying the standard AGM postulates have usually played a prominent role in the discussion. (Genin and Kelly 2019)