Belief revision is a topic of much interest in theoretical computer
science and logic, and it forms a central problem in research into
artificial intelligence. In simple terms: how do you update a
database of knowledge in the light of new information? What if the
new information is in conflict with something that was previously
held to be true? An intelligent system should be able to
accommodate all such cases. This book contains a collection of
research articles on belief revision that are completely up to date
and an introductory chapter that presents a survey of current
research in the area and the fundamentals of the theory. Thus this
volume will be useful as a textbook on belief revision.
General
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