A Creative Analogy Machine: Results and Challenges - Versionsgeschichte

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== Reference ==
Diarmuid O’Donoghue and Mark T. Keane: [[A Creative Analogy Machine: Results and Challenges]]. In: [[Computational Creativity 2012 ICCC 2012]].

== DOI ==

== 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 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.

== Extended Abstract ==

== Bibtex ==

== Used References ==
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== Links ==
=== Full Text ===
http://computationalcreativity.net/iccc2012/wp-content/uploads/2012/05/017-ODonoghue.pdf

[[intern file]]

=== Sonstige Links ===

@@ Zeile 2: / Zeile 2: @@
 == Reference ==
-Diarmuid O’Donoghue and Mark T. Keane: [[A Creative Analogy Machine: Results and Challenges]]. In: [[Computational Creativity 2012 ICCC 2012]].
+Diarmuid O’Donoghue and Mark T. Keane: [[A Creative Analogy Machine: Results and Challenges]]. In: [[Computational Creativity 2012 ICCC 2012]], 17-24.
 == DOI ==
@@ Zeile 26: / Zeile 26: @@
 == Bibtex ==
 == Used References ==

@@ Zeile 9: / Zeile 9: @@
 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-
+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 creativ-
+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 infer-
+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 com-
+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 anal-
+than the standard (post hoc) representation of the analogy. Finally, some remaining challenges for a truly
 autonomous creative analogy machine are assessed.