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Some Probability Judgments may Rely on Complexity Assessments

Abstract : Human beings do assess probabilities. Their judgments are however sometimes at odds with probability theory. One possibility is that human cognition is imperfect or flawed in the probability domain, showing biases and errors. Another possibility, that we explore here, is that human probability judgments do not rely on a weak version of probability calculus, but rather on complexity computations. This hypothesis is worth exploring, not only because it predicts some of the probability ‘biases’, but also because it explains human judgments of uncertainty in cases where probability calculus cannot be applied. We designed such a case in which the use of complexity when judging uncertainty is almost transparent.
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Contributor : Antoine Saillenfest <>
Submitted on : Thursday, September 10, 2015 - 2:17:12 PM
Last modification on : Friday, October 16, 2020 - 3:40:52 AM


  • HAL Id : hal-01196802, version 1



Antoine Saillenfest, Jean-Louis Dessalles. Some Probability Judgments may Rely on Complexity Assessments. CogSci 2015, Jul 2015, Pasadena, California, United States. pp.2069-2074. ⟨hal-01196802⟩



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