Inductive analogy by similarity and proximity

Modern inductive logic, conceived as a theory of inductive probabilities, is intended to be a useful instrument for learning from experience not only in objective contexts, where there is some underlying objective probability process, but also in other, non-objective contexts. However, for designing inductive systems, objective applications form the primary challenge, for they provide the objective, but unknown, goal which has to be approached in a rational way on the basis of increasing experimental evidence. Hence, in the following we will presuppose an underlying probability process, except when otherwise stated.