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Direct linkTabor, Whitney; Cho, Pyeong W.; Dankowicz, Harry – Cognitive Science, 2013
Human participants and recurrent ("connectionist") neural networks were both trained on a categorization system abstractly similar to natural language systems involving irregular ("strong") classes and a default class. Both the humans and the networks exhibited staged learning and a generalization pattern reminiscent of the…
Descriptors: Learning Processes, Task Analysis, Systems Approach, Geometric Concepts
Ahn, Woo-Young; Busemeyer, Jerome R.; Wagenmakers, Eric-Jan; Stout, Julie C. – Cognitive Science, 2008
It is a hallmark of a good model to make accurate "a priori" predictions to new conditions (Busemeyer & Wang, 2000). This study compared 8 decision learning models with respect to their generalizability. Participants performed 2 tasks (the Iowa Gambling Task and the Soochow Gambling Task), and each model made a priori predictions by estimating the…
Descriptors: Prediction, Generalization, Models, Comparative Analysis
