Hostname: page-component-cd9895bd7-jn8rn Total loading time: 0 Render date: 2024-12-22T19:29:45.087Z Has data issue: false hasContentIssue false
  • English
  • Français

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. aschweri@uni-osnabrueck.dehttp://www.cogsci.uni-osnabrueck.de/~aschweri/kkuehnbe@uni-osnabrueck.dehttp://www.cogsci.uni-osnabrueck.de/~kkuehnbe/
Kai-Uwe Kühnberger
Affiliation:
Institute of Cognitive Science, University of Osnabrück, D-49076 Osnabrück, Germany. aschweri@uni-osnabrueck.dehttp://www.cogsci.uni-osnabrueck.de/~aschweri/kkuehnbe@uni-osnabrueck.dehttp://www.cogsci.uni-osnabrueck.de/~kkuehnbe/
Get access Rights & Permissions [Opens in a new window]

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

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

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