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    A Creative Analogy Machine: Results and Challenges


    O'Donoghue, Diarmuid and Keane, Mark T. (2012) A Creative Analogy Machine: Results and Challenges. Proceedings of the International Conference on Computational Creativity 2012.

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    Abstract

    Are we any closer to creating an autonomous model of analogical reasoning that can generate new and creative analogical comparisons? A three-phase model of analogical reasoning is presented that encompasses the phases of retrieval, mapping and inference validation. The model of the retrieval phase maximizes its creativity by focusing on domain topology, combating the semantic locality suffered by other models. The mapping model builds on a standard model of the mapping phase, again making use of domain topology. A novel validation model helps ensure the quality of the inferences that are accepted by the model. We evaluated the ability of our tri-phase model to re-discover several h-creative analogies (Boden, 1992) from a background memory containing many potential source domains. The model successfully re-discovered all creative comparisons, even when given problem descriptions that more accurately reflect the original problem – rather than the standard (post hoc) representation of the analogy. Finally, some remaining challenges for a truly autonomous creative analogy machine are assessed.

    Item Type: Article
    Keywords: Creative Analogy Machine;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Item ID: 3891
    Depositing User: Dr. Diarmuid O'Donoghue
    Date Deposited: 24 Sep 2012 11:30
    Journal or Publication Title: Proceedings of the International Conference on Computational Creativity 2012
    Publisher: ICCC 2012
    Refereed: Yes
    URI:

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