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.

• Type: Conference
• Year: 2007
• Where: AI
• Authors: Ralf Krestel, René Witte, Sabine Bergler
• Keywords: AI 2007, Artificial Intelligence, Fuzzy Belief Revision, Fuzzy Set Operators, Fuzzy Theory-based Representation