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  • × classification_ss:"006.3"
  1. Krause, P.J.; Clark, D.: Representing uncertain knowledge (1993) 0.12
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    LCSH
    Uncertainty (Information theory)
    Knowledge representation (Information theory)
    Subject
    Uncertainty (Information theory)
    Knowledge representation (Information theory)
  2. Hodgson, J.P.E.: Knowledge representation and language in AI (1991) 0.09
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    Abstract
    The aim of this book is to highlight the relationship between knowledge representation and language in artificial intelligence, and in particular on the way in which the choice of representation influences the language used to discuss a problem - and vice versa. Opening with a discussion of knowledge representation methods, and following this with a look at reasoning methods, the author begins to make his case for the intimate relationship between language and representation. He shows how each representation method fits particularly well with some reasoning methods and less so with others, using specific languages as examples. The question of representation change, an important and complex issue about which very little is known, is addressed. Dr Hodgson gathers together recent work on problem solving, showing how, in some cases, it has been possible to use representation changes to recast problems into a language that makes them easier to solve. The author maintains throughout that the relationships that this book explores lie at the heart of the construction of large systems, examining a number of the current large AI systems from the viewpoint of representation and language to prove his point.
    LCSH
    Knowledge / representation (Information theory)
    Subject
    Knowledge / representation (Information theory)
  3. Lenat, D.B.; Guha, R.V.: Building large knowledge-based systems representation and inference in the CYC project (1990) 0.03
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  4. Survey of text mining : clustering, classification, and retrieval (2004) 0.00
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    Abstract
    Extracting content from text continues to be an important research problem for information processing and management. Approaches to capture the semantics of text-based document collections may be based on Bayesian models, probability theory, vector space models, statistical models, or even graph theory. As the volume of digitized textual media continues to grow, so does the need for designing robust, scalable indexing and search strategies (software) to meet a variety of user needs. Knowledge extraction or creation from text requires systematic yet reliable processing that can be codified and adapted for changing needs and environments. This book will draw upon experts in both academia and industry to recommend practical approaches to the purification, indexing, and mining of textual information. It will address document identification, clustering and categorizing documents, cleaning text, and visualizing semantic models of text.
  5. Nagao, M.: Knowledge and inference (1990) 0.00
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    LCSH
    Knowledge, Theory of
    Subject
    Knowledge, Theory of
  6. Penrose, R.: Schatten des Geistes : Wege zu einer neuen Physik des Bewußtseins (1995) 0.00
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    LCSH
    Quantum theory
    Subject
    Quantum theory
  7. Penrose, R.: Computerdenken : Des Kaisers neue Kleider oder Die Debatte um Künstliche Intelligenz, Bewußtsein und die Gesetze der Physik (1991) 0.00
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    Classification
    NAT 29
    SFB
    NAT 29

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