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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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| Main Authors: | , , |
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| Format: | Artigo |
| Language: | Inglês |
| Published: |
2007
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| Subjects: | |
| Online Access: | 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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