A Bayesian Interpretation of the Monty Hall Problem with Epistemic Uncertainty
| Autor: | Paolo Viappiani, Cristina E. Manfredotti |
|---|---|
| Přispěvatelé: | Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Mathématiques et Informatique Appliquées (MIA-Paris), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-AgroParisTech-Université Paris-Saclay, Centre National de la Recherche Scientifique (CNRS), DECISION, LIP6, Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Viappiani, Paolo |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]
Computer Science::Computer Science and Game Theory Computer science Interpretation (philosophy) Mathematics::History and Overview 010102 general mathematics Monty Hall problem Bayesian probability 02 engineering and technology 01 natural sciences [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] 0202 electrical engineering electronic engineering information engineering Key (cryptography) 020201 artificial intelligence & image processing 0101 mathematics Uncertainty quantification Mathematical economics Host (network) ComputingMilieux_MISCELLANEOUS |
| Zdroj: | The 18th International Conference on Modeling Decisions for Artificial Intelligence The 18th International Conference on Modeling Decisions for Artificial Intelligence, Sep 2021, Umea (Online), Sweden HAL Modeling Decisions for Artificial Intelligence ISBN: 9783030855284 MDAI |
| Popis: | The Monty Hall problem is a classic puzzle that, in addition to intriguing the general public, has stimulated research into the foundations of reasoning about uncertainty. A key insight to understanding the Monty Hall problem is to realize that the specification of the behavior of the host (i.e. Monty) of the game is fundamental. Here we go one step further and reason, in Bayesian way, in terms of epistemic uncertainty about the behavior of host, assuming subjective probabilities. |
| Databáze: | OpenAIRE |
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