Knowledge partitioning in categorization: constraints on exemplar models.
J Exp Psychol Learn Mem Cogn
; 30(5): 1045-64, 2004 Sep.
Article
em En
| MEDLINE
| ID: mdl-15355135
ABSTRACT
The authors present 2 experiments that establish the presence of knowledge partitioning in perceptual categorization. Many participants learned to rely on a context cue, which did not predict category membership but identified partial boundaries, to gate independent partial categorization strategies. When participants partitioned their knowledge, a strategy used in 1 context was unaffected by knowledge demonstrably present in other contexts. An exemplar model, attentional learning covering map, was shown to be unable to accommodate knowledge partitioning. Instead, a mixture-of-experts model, attention to rules and instances in a unified model (ATRIUM), could handle the results. The success of ATRIUM resulted from its assumption that people memorize not only exemplars but also the way in which they are to be classified.
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Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Percepção Visual
/
Cognição
/
Sinais (Psicologia)
Tipo de estudo:
Clinical_trials
/
Prognostic_studies
Limite:
Humans
Idioma:
En
Revista:
J Exp Psychol Learn Mem Cogn
Ano de publicação:
2004
Tipo de documento:
Article