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Child versus adult analogy: The role of systematicity and abstraction in analogy models

Published online by Cambridge University Press:  29 July 2008

Angela Schwering  and
Kai-Uwe Kühnberger
Angela Schwering
Affiliation:
Institute of Cognitive Science, University of Osnabrück, D-49076 Osnabrück, Germany. [email protected]://www.cogsci.uni-osnabrueck.de/~aschweri/[email protected]://www.cogsci.uni-osnabrueck.de/~kkuehnbe/
Kai-Uwe Kühnberger
Affiliation:
Institute of Cognitive Science, University of Osnabrück, D-49076 Osnabrück, Germany. [email protected]://www.cogsci.uni-osnabrueck.de/~aschweri/[email protected]://www.cogsci.uni-osnabrueck.de/~kkuehnbe/
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Abstract

The target article develops a computational connectionist model for analogy-making from a developmental perspective and evaluates this model using simple analogies. Our commentary critically reviews the advantages and limits of this approach, in particular with respect to its expressive power, its capability to generalize across analogous structure and analyze systematicity in analogies.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 31 , Issue 4 , August 2008 , pp. 395 - 396
Copyright
Copyright © Cambridge University Press 2008

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References

Gust, H., Krumnack, U., Kühnberger, K.-U. & Schwering, A. (2007) Integrating analogical and inductive learning at different levels of generalization. In: LNVD 2007: Learning from Non-Vectorial Data. Proceedings of the KI-2007 Workshop Held in OsnabrückGermanySeptember 10th, 2007; Publications of the Institute of Cognitive Science, vol. 6, ed. Geibel, P. & Jain, B. J., pp. 46–57. Institute of Cognitive Science.Google Scholar
Gust, H., Kühnberger, K.-U. & Schmid, U. (2006) Metaphors and heuristic-driven theory projection (HDTP). Theoretical Computer Science 354(1):98–117.CrossRefGoogle Scholar