Contents - On the relation between abduction and inductive learning. AI approaches to abduction. Abduction in labelled deductive systems. Logical characterisations of inductive learning. Abduction in machine learning. An overview of ordinal and numerical approaches to causal diagnostic problem solving. Abductive inference with probabilistic networks. Learning from data: possibilistic graphical models. Independence in uncertainty theories and its applications to learning belief networks.