Modelling typical alphabetic analogical reasoning

Grob, J. and Wood, Sharon (2003) Modelling typical alphabetic analogical reasoning. In: Schmalhofer, F., Young, R. and Katz, G. (eds.) Proceedings of the European Conference of the Cognitive Science Society, Osnabruck, Germany. Lawrence Erlbaum / Taylor & Francis, Mahwah, NJ, USA, pp. 157-162. ISBN 9780805850055

[img] PDF
Restricted to SRO admin only

Download (275kB)


A study investigating the way in which people solve alphabetic analogical reasoning tasks (cf Copycat; Hofstadter & Mitchell, 1995), revealed that participants tend to use the same basic strategy, which was modelled in the cognitive architecture ACT-R. Performance evaluations indicate an average goodness of fit of 66.75% and a 100% goodness of fit on a subset of problems for which participants were significantly more likely to produce a single 'typical' response (p<0.05). The model is discussed in the context of various features of human analogical reasoning which were observed in the study, and in relation to Hoftstadter and Mitchell's (1995) discussion of 'elegant' solutions to problems.

Item Type: Book Section
Additional Information: Publisher's version available at official url
Schools and Departments: School of Engineering and Informatics > Informatics
Subjects: Q Science > QA Mathematics > QA0075 Electronic computers. Computer science
Depositing User: Chris Keene
Date Deposited: 14 Aug 2007
Last Modified: 30 Sep 2019 14:06
Google Scholar:1 Citations

View download statistics for this item

📧 Request an update