Creating a Fuzzy Believer to Model Human Newspaper Readers


Title | Creating a Fuzzy Believer to Model Human Newspaper Readers |
Publication Type | Conference Paper |
Year of Publication | 2007 |
Authors | Krestel, R., R. Witte, and S. Bergler |
Refereed Designation | Refereed |
Editors | Kobti, Z., and D. Wu |
Conference Name | Proceedings of the 20th Canadian Conference on Artificial Intelligence (Canadian A.I. 2007) |
Tertiary Title | LNAI |
Volume | 4509 |
Pagination | 489–501 |
Date Published | May 28–30 |
Publisher | Springer |
Conference Location | Montréal, Québec, Canada |
ISBN Number | 978-3-540-72664-7 |
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. |
URL | http://www.springerlink.com/content/8qhk0087835x4506/fulltext.pdf |
DOI | 10.1007/978-3-540-72665-4_42 |
Copyright | Copyright © 2007 Springer-Verlag. This is the author's version of the work. It is posted here by permission of Springer for your personal use. Not for redistribution. |
Acceptance Rate | 17.7% |
Attachment | Size |
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fuzzy_believer_CAI2007.pdf | 181.98 KB |
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