An adaptive linear filter model of procedural category learning

We use a feature-based association model to fit grouped and individual level category learning and transfer data. The model assumes that people use corrective feedback to learn individual feature to categorization-criterion correlations and combine those correlations additively to produce classifica...

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Veröffentlicht in:	Cognitive processing 2022-08, Vol.23 (3), p.393-405
Hauptverfasser:	Marchant, Nicolás, Canessa, Enrique, Chaigneau, Sergio E.
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Behavioral Sciences Biomedical and Life Sciences Biomedicine Neurosciences Research Article
Online-Zugang:	Volltext
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