  In the field of knowledge representation, the considered epistemic states are
often based on propositional interpretations, also called worlds. E.g.,
epistemic states of agents can be modelled by ranking functions or total
preorders on worlds. However, there are usually different ways of how to
describe a real world situation in a propositional language; this can be seen
as different points of view on the same situation. In this paper we introduce
the concept of model transformations to convert an epistemic state from one
point of view to another point of view, yielding a novel notion of equivalence
of epistemic states. We show how the well-known advantages of syntax splitting,
originally developed for belief sets and later extended to representation of
epistemic states and to nonmonotonic reasoning, can be exploited for belief
revision via model transformation by uncovering splittings not being present
before. Furthermore, we characterize situations where belief change operators
commute with model transformations.
