O'Donoghue, Diarmuid P. and Keane, Mark T.
A Creative Analogy Machine: Results and Challenges.
Proceedings of the International Conference on Computational Creativity 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 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.
||Creative Analogy Machine;
||Faculty of Science and Engineering > Computer Science
Dr. Diarmuid O'Donoghue
||24 Sep 2012 11:30
|Journal or Publication Title:
||Proceedings of the International Conference on Computational Creativity 2012
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