Tale of two context-based formalisms for representing human knowledge

    Authors

    P. Brezillon;A. J. Gonzalez

    Comments

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    Keywords

    Computer Science, Artificial Intelligence

    Abstract

    This paper describes an investigation that compared and contrasted Context-based Reasoning (CxBR) and Contextual Graphs (CxG), two paradigms used to represent human intelligence. The specific objectives were to increase understanding of both paradigms, identifying which, if either, excels at a particular function, and to look for potential synergism amongst them. We study these paradigms through ten different aspects, with some indication of which one excels at this particular facet of performance. We point out how they are complementary and finishes with a recommendation for a new synergistic approach, followed by an example of an application of the new approach to tactical

    Journal Title

    Advances in Applied Articial Intelligence, Proceedings

    Volume

    4031

    Publication Date

    1-1-2006

    Document Type

    Article

    Language

    English

    First Page

    137

    Last Page

    145

    WOS Identifier

    WOS:000239623800017

    ISSN

    0302-9743; 3-540-35453-0

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