On the Importance of Feedback for Categorization: Revisiting Category Learning Experiments Using an Adaptive Filter Model

Associative accounts of category learning have been, for the most part, abandoned in favor of cognitive explanations (e.g., similarity, explicit rules). In the current work, we implement an Adaptive Linear Filter (ALF) closely related to the Rescorla and Wagner learning rule, and use it to tackle th...

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Veröffentlicht in:	Journal of experimental psychology. Animal behavior processes 2022-10, Vol.48 (4), p.295-306
Hauptverfasser:	Marchant, Nicolás, Chaigneau, Sergio E.
Format:	Artikel
Sprache:	eng
Schlagworte:	Associative Processes Classification (Cognitive Process) Cognitive ability Computer applications Feedback Human Learning Prediction Scientists Simulation
Online-Zugang:	Volltext
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