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  • × author_ss:"Hurt, C.D."
  1. Hurt, C.D.: Important literature identification in science : a critical review of the literature (1984) 0.00 
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    Type
    a
  2. Hurt, C.D.: Classification and subject analysis : looking to the future at a distance (1997) 0.00 
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    Abstract
    Classic classification schemes are uni-dimensional, with few exceptions. One of the challenges of distance education and new learning strategies is that the proliferation of course work defies the traditional categorization. The rigidity of most present classification schemes does not mesh well with the burgeoning fluidity of the academic environment. One solution is a return to a largely forgotten area of study - classification theory. Some suggestions for exploration are nonmonotonic logic systems, neural network models, and non-library models.
    Type
    a
  3. Hurt, C.D.: Nonmonotonic logic for use in information retrieval : an exploratory paper (1998) 0.00 
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    Abstract
    Monotonic logic requires reexamination of the entirety of a logic string when there is a contradiction. Nonmonotonic logic allows the user to withdraw conclusions in the face of contradiction without harm to the logic string. This attribute has considerable application to the field of information searching. Artificial intelligence models and neural networks based on nonmonotonic logic have the potential for more robust findings than the use of monotonic logic alone. This paper demonstrates the power of nonmonotonic logic but does not implement the logic
    Type
    a

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