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Fuzzy Dynamic Logic

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  • LEONID I. PERLOVSKY

    ()
    (Air Force Research Lab., 80 Scott Rd., Hanscom AFB, MA 01731, USA)

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    Abstract

    Fuzzy logic is extended toward dynamic adaptation of the degree of fuzziness. The motivation is to explain the process of learning as a joint model improvement and fuzziness reduction. A learning system with fuzzy models is introduced. Initially, the system is in a highly fuzzy state of uncertain knowledge, and it dynamically evolves into a low-fuzzy state of certain knowledge. We present an image recognition example of patterns below clutter. The paper discusses relationships to formal logic, fuzzy logic, complexity and draws tentative connections to Aristotelian theory of forms and working of the mind.

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    Bibliographic Info

    Article provided by World Scientific Publishing Co. Pte. Ltd. in its journal New Mathematics and Natural Computation.

    Volume (Year): 02 (2006)
    Issue (Month): 01 ()
    Pages: 43-55

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    Handle: RePEc:wsi:nmncxx:v:02:y:2006:i:01:p:43-55

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    Related research

    Keywords: Fuzzy logic; complexity; fuzzy dynamic logic; mind; image recognition;

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