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    LUDI: A Model for Geometric Analogies using Attribute Matching


    Bohan, A. and O'Donoghue, Diarmuid (2000) LUDI: A Model for Geometric Analogies using Attribute Matching. In: AICS-2000 11th Artificial atelligence and Cognitive Science Conference, 23-25 August 2000, NUI Galway.

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    Abstract

    We review the work of Evans on graphical proportional analogies, identifying the object mappings that underlie many such comparisons. The limitations of Evans ANALOGY model are investigated. We then establish the role of attributes (colour, shape, pattern etc) in such analogies and identify two distinct mapping algorithms that are required by different classes of geometric analogy problems. We identify the conditions under which the alternate algorithms are required to produce a "best" answer. Finally, we describe a computational model (LUDI) that automatically generates the result for a large number of geometric analogies.

    Item Type: Conference or Workshop Item (Paper)
    Keywords: LUDI; Geometric Analogies; Attribute Matching; graphical proportional analogies;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Item ID: 10369
    Depositing User: Dr. Diarmuid O'Donoghue
    Date Deposited: 04 Jan 2019 15:35
    Refereed: Yes
    URI:

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