  Belief integration methods are often aimed at deriving a single and
consistent knowledge base that retains as much as possible of the knowledge
bases to integrate. The rationale behind this approach is the minimal change
principle: the result of the integration process should differ as less as
possible from the knowledge bases to integrate. We show that this principle can
be reformulated in terms of a more general model of belief revision, based on
the assumption that inconsistency is due to the mistakes the knowledge bases
contain. Current belief revision strategies are based on a specific kind of
mistakes, which however does not include all possible ones. Some alternative
possibilities are discussed.
