Skip navigation.
Home
Semantic Software Lab
Concordia University
Montréal, Canada

Creating a Fuzzy Believer to Model Human Newspaper Readers

Printer-friendly versionPrinter-friendly versionPDF versionPDF version
TitleCreating a Fuzzy Believer to Model Human Newspaper Readers
Publication TypeConference Paper
Year of Publication2007
AuthorsKrestel, R., R. Witte, and S. Bergler
Refereed DesignationRefereed
EditorsKobti, Z., and D. Wu
Conference NameProceedings of the 20th Canadian Conference on Artificial Intelligence (Canadian A.I. 2007)
Tertiary TitleLNAI
Volume4509
Pagination489–501
Date PublishedMay 28–30
PublisherSpringer
Conference LocationMontréal, Québec, Canada
ISBN Number978-3-540-72664-7
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.

URLhttp://www.springerlink.com/content/8qhk0087835x4506/fulltext.pdf
DOI10.1007/978-3-540-72665-4_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%

AttachmentSize
fuzzy_believer_CAI2007.pdf181.98 KB