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    Features of Structure for Anaology Retrieval


    Crean, Brian P. and O'Donoghue, Diarmuid (2001) Features of Structure for Anaology Retrieval. In: AIA, ACA 2001 - Artificial Intelligence and Applications, Advances in Computer Applications. ACTA Press, pp. 295-300. ISBN 0889863180

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    Abstract

    Spontaneously retrieving analogies from presented problem data is an important phase of analogical reasoning, influencing many related cognitive processes. Existing models have focused on semantic similarity, but structural similarity is also a necessary requirement of any analogical comparison. We present a new technique for performing structure based analogy retrieval. This is founded upon derived attributes that explicitly encode elementary structural qualities of a domains representation. Crucially, these attributes are unrelated to the semantic content of the domain information, and encode only its structural qualities. We describe a number of derived attributes and detail the computation of the corresponding attribute values. We examine our models operation, detailing how it retrieves both semantically related and unrelated domains. We also present a comparison of our algorithms performance with existing models, using a structure rich but semantically impoverished domain

    Item Type: Book Section
    Keywords: Cognitive Modeling; Case-Based Reasoning; Analogical Retrieval;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Item ID: 10365
    Depositing User: Dr. Diarmuid O'Donoghue
    Date Deposited: 04 Jan 2019 14:54
    Publisher: ACTA Press
    Refereed: Yes
    URI:

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