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  1. Why Contextual Preference Reversals Maximize Expected Value.Andrew Howes, Paul A. Warren, George Farmer, Wael El-Deredy & Richard L. Lewis - 2016 - Psychological Review 123 (4):368-391.
  • Multialternative Decision by Sampling: A Model of Decision Making Constrained by Process Data.Takao Noguchi & Neil Stewart - 2018 - Psychological Review 125 (4):512-544.
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  • Naturalistic Multiattribute Choice.Sudeep Bhatia & Neil Stewart - 2018 - Cognition 179:71-88.
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  • In the Attraction, Compromise, and Similarity Effects, Alternatives Are Repeatedly Compared in Pairs on Single Dimensions.Takao Noguchi & Neil Stewart - 2014 - Cognition 132 (1):44-56.
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  • Noisy Preferences in Risky Choice: A Cautionary Note.Sudeep Bhatia & Graham Loomes - 2017 - Psychological Review 124 (5):678-687.
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  • Cognitive Science Contributions to Decision Science.Jerome R. Busemeyer - 2015 - Cognition 135:43-46.
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  • Modeling the Covariance Structure of Complex Datasets Using Cognitive Models: An Application to Individual Differences and the Heritability of Cognitive Ability.Nathan J. Evans, Mark Steyvers & Scott D. Brown - 2018 - Cognitive Science 42 (6):1925-1944.
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  • Connecting Cognition and Consumer Choice.Daniel M. Bartels & Eric J. Johnson - 2015 - Cognition 135:47-51.
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  • Improving Human‐Machine Cooperative Classification Via Cognitive Theories of Similarity.Brett D. Roads & Michael C. Mozer - 2017 - Cognitive Science 41 (5):1394-1411.
    Acquiring perceptual expertise is slow and effortful. However, untrained novices can accurately make difficult classification decisions by reformulating the task as similarity judgment. Given a query image and a set of reference images, individuals are asked to select the best matching reference. When references are suitably chosen, the procedure yields an implicit classification of the query image. To optimize reference selection, we develop and evaluate a predictive model of similarity-based choice. The model builds on existing psychological literature and accommodates stochastic, (...)
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