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Testing Adaptive Toolbox Models : A Bayesian Hierarchical Approach

Scheibehenne, Benjamin and Rieskamp, Jörg and Wagenmakers, Eric-Jan. (2013) Testing Adaptive Toolbox Models : A Bayesian Hierarchical Approach. Psychological review, 120. pp. 39-64.

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Official URL: http://edoc.unibas.ch/dok/A6070241

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Abstract

Many theories of human cognition postulate that people are equipped with a repertoire of strategies to solve the tasks they face. This theoretical framework of a cognitive toolbox provides a plausible account of intra- and interindividual differences in human behavior. Unfortunately, it is often unclear how to rigorously test the toolbox framework. How can a toolbox model be quantitatively specified? How can the number of toolbox strategies be limited to prevent uncontrolled strategy sprawl? How can a toolbox model be formally tested against alternative theories? The authors show how these challenges can be met by using Bayesian inference techniques. By means of parameter recovery simulations and the analysis of empirical data across a variety of domains (i.e., judgment and decision making, children's cognitive development, function learning, and perceptual categorization), the authors illustrate how Bayesian inference techniques allow toolbox models to be quantitatively specified, strategy sprawl to be contained, and toolbox models to be rigorously tested against competing theories. The authors demonstrate that their approach applies at the individual level but can also be generalized to the group level with hierarchical Bayesian procedures. The suggested Bayesian inference techniques represent a theoretical and methodological advancement for toolbox theories of cognition and behavior. (PsycINFO Database Record (c) 2012 APA, all rights reserved).
Faculties and Departments:07 Faculty of Psychology > Departement Psychologie > Forschungsbereich Sozial-, Wirtschafts- und Entscheidungspsychologie > Economic Psychology (Rieskamp)
UniBasel Contributors:Rieskamp, Jörg
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:American Psychological Association
ISSN:0033-295X
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:24 May 2013 09:23
Deposited On:24 May 2013 09:21

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