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Selected Cognitive Categorization Systems

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Book cover Artificial Intelligence and Soft Computing – ICAISC 2008 (ICAISC 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5097))

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Abstract

This paper demonstrates that AI methods can be applied to the development of intelligent IT systems. They also facilitate an in-depth analysis of the meaning presented in cognitive categorization information systems - in particular UBIAS systems (Understanding Based Image Analysis Systems). This paper also presents the IT mechanisms of object meaning description on selected examples of long bone fractures image analysis. The procedures for such semantic reasoning are based on the model of cognitive resonance and cognitive analysis. These have been applied to the task of interpreting the meaning of selected diagnostic images from the long bone fractures system as an intelligent analysis module in IT systems. The application presented in this paper is of a research character and it serves the preparation of efficient lesion detection methods applied to a dataset originating from of the long bone fractures structures.

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Author information

Authors and Affiliations

  1. Institute of Automatics, AGH University of Science and Technology, Al. Mickiewicza 30, PL-30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  2. Faculty of Management, AGH University of Science and Technology, Al. Mickiewicza 30, PL-30-059, Kraków, Poland

    Lidia Ogiela

Authors
  1. Ryszard Tadeusiewicz
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  2. Lidia Ogiela
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Editor information

Leszek Rutkowski Ryszard Tadeusiewicz Lotfi A. Zadeh Jacek M. Zurada

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Tadeusiewicz, R., Ogiela, L. (2008). Selected Cognitive Categorization Systems. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing – ICAISC 2008. ICAISC 2008. Lecture Notes in Computer Science(), vol 5097. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69731-2_106

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  • DOI: https://doi.org/10.1007/978-3-540-69731-2_106

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69572-1

  • Online ISBN: 978-3-540-69731-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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