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  1. Tversky and Kahneman’s Cognitive Illusions: Who Can Solve Them, and Why?Georg Bruckmaier, Stefan Krauss, Karin Binder, Sven Hilbert & Martin Brunner - 2021 - Frontiers in Psychology 12.
    In the present paper we empirically investigate the psychometric properties of some of the most famous statistical and logical cognitive illusions from the “heuristics and biases” research program by Daniel Kahneman and Amos Tversky, who nearly 50 years ago introduced fascinating brain teasers such as the famous Linda problem, the Wason card selection task, and so-called Bayesian reasoning problems (e.g., the mammography task). In the meantime, a great number of articles has been published that empirically examine single cognitive illusions, theoretically (...)
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  • Editorial: Improving Bayesian Reasoning: What Works and Why?David R. Mandel & Gorka Navarrete - 2015 - Frontiers in Psychology 6.
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  • Comprehension and computation in Bayesian problem solving.Eric D. Johnson & Elisabet Tubau - 2015 - Frontiers in Psychology 6.
  • A modified Monty Hall problem.Wei James Chen & Joseph Tao-yi Wang - 2020 - Theory and Decision 89 (2):151-156.
    We conduct a laboratory experiment using the Monty Hall problem to study how simplified examples improve learning behavior and correct irrational choices in probabilistic situations. In particular, we show that after experiencing a simplified version of the MHP, subjects perform better in the MHP, compared to the control group who only experienced the 3-door version. Our results suggest that simplified examples strongly induces learning.
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  • Rationality, the Bayesian standpoint, and the Monty-Hall problem.Jean Baratgin - 2015 - Frontiers in Psychology 6.