Article
A unified explanation of variability and bias in human probability judgments: How computational noise explains the mean-variance signature
2021-07-02
Abstract excerpt
<p>Human probability judgments are both variable and subject to systematic biases. Most probability judgment models treat variability and bias separately: a deterministic model explains the origin of bias, to which a noise process is added to generate variability. But these accounts do not explain the characteristic inverse U-shaped signature linking mean and variance in probability judgments. By contrast, models...
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Identifiers and source
- Literature Corpus work
- 146592a9-b0e2-5998-a47b-022c6f6f675f
- DOI
- 10.31234/osf.io/yuhaz