Belief revision and possibilistic logic for adaptive information filtering agents

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with host publication)peer-review

4 Scopus Citations
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Author(s)

  • R. Lau
  • A. H M Ter Hofstede
  • P. D. Bruza
  • K. F. Wong

Detail(s)

Original languageEnglish
Title of host publicationProceedings - International Conference on Tools with Artificial Intelligence, ICTAI
PublisherIEEE Computer Society
Pages19-26
Volume2000-January
ISBN (Print)769509096
Publication statusPublished - 2000
Externally publishedYes

Publication series

Name
Volume2000-January
ISSN (Print)1082-3409

Conference

Title12th IEEE Internationals Conference on Tools with Artificial Intelligence, ICTAI 2000
PlaceCanada
CityVancouver
Period13 - 15 November 2000

Abstract

Prototypes of adaptive information agents have been developed to alleviate the problem of information overload on the Internet. However, the explanatory power and the learning autonomy of these agents are weak. A logic based framework for the development of information agents is appealing since semantic relationships among information objects can be captured and reasoned about. This sheds light on better explanatory power and higher learning autonomy of information agents. The paper illustrates how the AGM belief revision and possibilistic logic can be applied to develop the learning and the filtering components of adaptive information filtering agents. Their impact on the agents' learning autonomy and explanatory power is also discussed.

Research Area(s)

  • Adaptive filters, Art, Australia, Computational Intelligence Society, Feedback, Information filtering, Information filters, Information retrieval, Internet, Logic

Citation Format(s)

Belief revision and possibilistic logic for adaptive information filtering agents. / Lau, R.; Ter Hofstede, A. H M; Bruza, P. D. et al.
Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI. Vol. 2000-January IEEE Computer Society, 2000. p. 19-26 889841.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with host publication)peer-review