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Blocking in Category Learning

Many theories of category learning assume that learning is driven by a need to minimize classification error. When there is no classification error, therefore, learning of individual features should be negligible. We tested this hypothesis by conducting three category learning experiments adapted fr...

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Detalhes bibliográficos
Main Authors: Bott, Lewis, Hoffman, Aaron B., Murphy, Gregory L.
Formato: Artigo
Idioma:Inglês
Publicado em: 2007
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC2323587/
https://ncbi.nlm.nih.gov/pubmed/17999579
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1037/0096-3445.136.4.685
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