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- aggregation classification "A1".
- aggregation creator person.
- aggregation creator person.
- aggregation date "2010".
- aggregation format "application/pdf".
- aggregation hasFormat 1250525.bibtex.
- aggregation hasFormat 1250525.csv.
- aggregation hasFormat 1250525.dc.
- aggregation hasFormat 1250525.didl.
- aggregation hasFormat 1250525.doc.
- aggregation hasFormat 1250525.json.
- aggregation hasFormat 1250525.mets.
- aggregation hasFormat 1250525.mods.
- aggregation hasFormat 1250525.rdf.
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- aggregation hasFormat 1250525.txt.
- aggregation hasFormat 1250525.xls.
- aggregation hasFormat 1250525.yaml.
- aggregation isPartOf urn:issn:0033-2879.
- aggregation language "eng".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Social Sciences".
- aggregation title "Secondary generalisation in categorisation: an exemplar-based account".
- aggregation abstract "The parallel rule activation and rule synthesis (PRAS) model is a computational model for generalisation in category learning, proposed by Vandierendonck (1995). An important concept underlying the PRAS model is the distinction between primary and secondary generalisation. In Vandierendonck (1995), an empirical study is reported that provides support for the concept of secondary generalisation. In this paper, we re-analyse the data reported by Vandierendonck (1995) by fitting three different variants of the Generalised Context Model (GCM) which do not rely on secondary generalisation. Although some of the GCM variants outperformed the PRAS model in terms of global fit, they all have difficulty in providing a qualitatively good fit of a specific critical pattern.".
- aggregation authorList BK940271.
- aggregation endPage "173".
- aggregation issue "3-4".
- aggregation startPage "153".
- aggregation volume "50".
- aggregation aggregates 1250595.
- aggregation isDescribedBy 1250525.
- aggregation similarTo LU-1250525.