A Creative Analogy Machine: Results and Challenges
Diarmuid O’Donoghue and Mark T. Keane: A Creative Analogy Machine: Results and Challenges. In: Computational Creativity 2012 ICCC 2012.
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 ana- logical reasoning is presented that encompasses the phases of retrieval, mapping and inference validation. The model of the retrieval phase maximizes its creativ- ity by focusing on domain topology, combating the se- mantic 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 infer- ences 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 com- parisons, even when given problem descriptions that more accurately reflect the original problem – rather than the standard (post hoc) representation of the anal- ogy. Finally, some remaining challenges for a truly autonomous creative analogy machine are assessed.
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