| Towards better computational models of the balance scale task: a reply to Shultz and Takane. | |
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MedLine Citation:
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PMID: 17324394 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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In contrast to Shultz and Takane [Shultz, T.R., & Takane, Y. (2007). Rule following and rule use in the balance-scale task. Cognition, in press, doi:10.1016/j.cognition.2006.12.004.] we do not accept that the traditional Rule Assessment Method (RAM) of scoring responses on the balance scale task has advantages over latent class analysis (LCA): RAM is similar to a very restricted form of LCA. The apparent shortcomings of LCA are also less severe than they suggest. Via new simulations we show that LCA detects small classes reliably. We also counter their concerns regarding the torque difference effect and we underline the problems connectionist models have with correctly responding to balance items. Despite these differences in opinion we agree with Shultz and Takane on the possible avenues for future research. |
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Authors:
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Han L J van der Maas; Philip T Quinlan; Brenda R J Jansen |
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Publication Detail:
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Type: Comment; Journal Article; Research Support, Non-U.S. Gov't Date: 2007-02-26 |
Journal Detail:
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Title: Cognition Volume: 103 ISSN: 0010-0277 ISO Abbreviation: Cognition Publication Date: 2007 Jun |
Date Detail:
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Created Date: 2007-04-09 Completed Date: 2007-06-01 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0367541 Medline TA: Cognition Country: Netherlands |
Other Details:
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Languages: eng Pagination: 473-9 Citation Subset: IM |
Affiliation:
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University of Amsterdam, The Netherlands. h.l.j.vandermaas@uva.nl |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Cognition* Humans Learning* Neural Networks (Computer)* |
| Comments/Corrections | |
Comment On:
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Cognition. 2007 Jun;103(3):460-72
[PMID:
17223096
]
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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