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A Bayesian Interpretation of the Monty Hall Problem with Epistemic Uncertainty

Cristina Manfredotti 1, 2 Paolo Viappiani 3, 4 
1 INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement
2 MIA Paris-Saclay - Mathématiques et Informatique Appliquées
3 CNRS - Centre National de la Recherche Scientifique
4 DECISION
LIP6
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Conference papers
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https://hal.sorbonne-universite.fr/hal-03226300
Contributor : Paolo Viappiani Connect in order to contact the contributor
Submitted on : Friday, June 11, 2021 - 2:55:56 PM
Last modification on : Saturday, April 9, 2022 - 3:43:10 AM
Long-term archiving on: : Sunday, September 12, 2021 - 7:52:26 PM

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  • HAL Id : hal-03226300, version 1

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AGROPARISTECH | CNRS | LIP6 | MIA-PARIS | UNIV-PARIS-SACLAY | SORBONNE-UNIVERSITE | SU-SCIENCES | INRAE | SU-TI | GS-MATHEMATIQUES | GS-COMPUTER-SCIENCE

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Cristina Manfredotti, Paolo Viappiani. A Bayesian Interpretation of the Monty Hall Problem with Epistemic Uncertainty. The 18th International Conference on Modeling Decisions for Artificial Intelligence, Sep 2021, Umea (Online), Sweden. ⟨hal-03226300⟩

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