2003 | OriginalPaper | Buchkapitel
A Logical Study on Qualitative Default Reasoning with Probabilities
verfasst von : Christoph Beierle, Gabriele Kern-Isberner
Erschienen in: Logic for Programming, Artificial Intelligence, and Reasoning
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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Only very special subclasses of probability distributions can be used for qualitative reasoning that meets basic logical demands. Snow’s atomic bound systems (big-stepped probabilities) provide one positive example for such a subclass. This paper presents a thorough investigation of the formal logical relationships between qualitative and probabilistic default reasoning. We start with formalizing qualitative conditional logic, as well as both standard and big-stepped probabilistic logic as abstract logical systems, using the notion of institutions. The institution of big-stepped probabilities turns out to be a proper combination of the other two. Moreover, the framework of institutions offers the possibility to elaborate exactly the properties that make probability distributions suitable for qualitative reasoning.