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Dynamic Fuzziness

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PRICAI 2002: Trends in Artificial Intelligence (PRICAI 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2417))

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Abstract

The paper proposes a generalization of the notion of the fuzzy set, intended to make it useful in the modeling of mental mechanisms of intelligent autonomous agents. In order to better represent the intrinsic dynamics of mental processes, the traditional membership value from the range [0, 1] is replaced with a function mapping time onto the range [0, 1]. Psychological justification of the development of a Dynamic Fuzzy Set theory, a method of Dynamic Fuzzy Calculus (DFC), as well as a computational example are provided.

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References

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Author information

Authors and Affiliations

  1. ATR Human Information Science Laboratories, 2-2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto, 619-0288, Japan

    Andrzej Buller

Authors
  1. Andrzej Buller
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Editor information

Editors and Affiliations

  1. School of Information Science and Technology Department of Information and Communication Engineering, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8656, Japan

    Mitsuru Ishizuka

  2. School of Information Technology Knowledge Representation and Reasoning Unit (KRRU) Faculty of Engineering and Information Technology, Griffith University, PMB 50 Gold Coast Mail Centre, Queensland, 9726, Australia

    Abdul Sattar

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© 2002 Springer-Verlag Berlin Heidelberg

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Buller, A. (2002). Dynamic Fuzziness. In: Ishizuka, M., Sattar, A. (eds) PRICAI 2002: Trends in Artificial Intelligence. PRICAI 2002. Lecture Notes in Computer Science(), vol 2417. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45683-X_12

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  • DOI: https://doi.org/10.1007/3-540-45683-X_12

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44038-3

  • Online ISBN: 978-3-540-45683-4

  • eBook Packages: Springer Book Archive

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