Ralf Krestel - CanadianAI 07

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.

Full Paper

CanadianAI07.pdf

BibTex Entry

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CanadianAI 2007

@InProceedings{krestel-cai07,
  author = {Ralf Krestel and Ren{\'{e}} Witte and Sabine Bergler},
  title = {{Creating a Fuzzy Believer to Model Human Newspaper Readers}},
  booktitle = {{Advances in Artificial Intelligence --- 20th Conference of the Canadian Society for Computational Studies of Intelligence (CanadianAI), Proceedings}},
  isbn = {978-3-540-72664-7},
  doi = {http://dx.doi.org/10.1007/978-3-540-72665-4_42},
  pages = {489--501},
  volume = {4509},
  series={Lecture Notes in Computer Science},
  location = {Montr{\'{e}}al, Qu{\'{e}}bec, Canada},
  month = {May 28--30},
  year = {2007},
  publisher = {Springer}
}