Conditionals are omnipresent, in everyday life as well as in
scientific environments; they represent generic knowledge acquired
inductively or learned from books. They tie a flexible and highly
interrelated network of connections along which reasoning is
possible and which can be applied to different situations.
Therefore, conditionals are important, but also quite problematic
objects in knowledge representation.
This book presents a new approach to conditionals which captures
their dynamic, non-proportional nature particularly well by
considering conditionals as agents shifting possible worlds in
order to establish relationships and beliefs. This understanding of
conditionals yields a rich theory which makes complex interactions
between conditionals transparent and operational. Moreover, it
provides a unifying and enhanced framework for knowledge
representation, nonmonotonic reasoning, belief revision, and even
for knowledge discovery.
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