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University of Groningen

Optimal bounds, bounded optimality

Böhm, Udo

IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please check the document version below.

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Publication date: 2018

Link to publication in University of Groningen/UMCG research database

Citation for published version (APA):

Böhm, U. (2018). Optimal bounds, bounded optimality: Models of impatience in decision-making. University of Groningen.

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Propositions

1) Reward rate maximisation provides an explanation for perceptual decision-making with a strong theoretical construction but weak empirical footing (Chapter 2) 2) In two-alternative forced choice decision tasks, the behaviour of human decision makers is not reward rate optimal (Chapter 3) 3) In perceptual decision-making under speed stress (but not under accuracy stress), fluctuations in CNV amplitude reflect the adjustment of response caution (Chapter 4) 4) Hierarchical Bayesian regression models that relate behavioural and physiological measurements to parameters in cognitive models provide a statistically sound way of testing linking hypotheses (Chapter 5) 5) Between-trial variability parameters in diffusion models increase model complexity and decrease usability (Chapter 6) 6) Hierarchical data require hierarchical models (Chapter 7)

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