A comparison of learning models
Journal of Mathematical Psychology
An introduction to natural computation
An introduction to natural computation
Broadening the tests of learning models
Journal of Mathematical Psychology - Special issue on experimental economics
The Architecture of Cognition
The neural mechanism of human numerical inductive reasoning process: a combined ERP and fMRI study
WImBI'06 Proceedings of the 1st WICI international conference on Web intelligence meets brain informatics
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In this paper, a model for performance on rule induction tasks (e.g., items on intelligence tests) is developed. The model simultaneously specifies distributions for response times and response accuracies on an item-by-item basis. It is dynamic in the sense that it can be used to specify and test different ways of learning throughout a test. Three versions of the general model (i.e., with three different learning rules) are described and the fit of these versions is investigated in two datasets on solving number series. The results indicate that one of these versions (one of the learning rules) is better at accounting for the data.