Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 0 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Evaluation Methods | 2 |
| Learning Processes | 2 |
| Models | 2 |
| Abstract Reasoning | 1 |
| Bayesian Statistics | 1 |
| Classification | 1 |
| Cognitive Science | 1 |
| Comparative Analysis | 1 |
| Computation | 1 |
| Data | 1 |
| Decision Making | 1 |
| More ▼ | |
Source
| Cognitive Science | 2 |
Author
| Ahn, Woo-Young | 1 |
| Busemeyer, Jerome R. | 1 |
| Lee, Michael D. | 1 |
| Stout, Julie C. | 1 |
| Vanpaemel, Wolf | 1 |
| Wagenmakers, Eric-Jan | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Evaluative | 1 |
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
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
Lee, Michael D.; Vanpaemel, Wolf – Cognitive Science, 2008
This article demonstrates the potential of using hierarchical Bayesian methods to relate models and data in the cognitive sciences. This is done using a worked example that considers an existing model of category representation, the Varying Abstraction Model (VAM), which attempts to infer the representations people use from their behavior in…
Descriptors: Computation, Inferences, Cognitive Science, Models

Peer reviewed
Direct link
