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Ralf Krestel

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CanadianAI 07

Creating a Fuzzy Believer to Model Human Newspaper Readers

Abstract
We present a system capable of modeling human newspaper readers. It is based on the extraction of reported speech, which is subsequently converted into a fuzzy theory-based representation of single statements. A domain analysis then assigns statements to topics. A number of fuzzy set operators, including fuzzy belief revision, are applied to model different belief strategies. At the end, our system holds certain beliefs while rejecting others.
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CanadianAI 2007

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