Biases and Variability from Costly Bayesian Inference

When humans infer underlying probabilities from stochastic observations, they exhibit biases and variability that cannot be explained on the basis of sound, Bayesian manipulations of probability. This is especially salient when beliefs are updated as a function of sequential observations. We introdu...

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Detalles Bibliográficos
Autores principales: Prat-Carrabin, Arthur, Meyniel, Florent, Tsodyks, Misha, Azeredo da Silveira, Rava
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8153311/
https://www.ncbi.nlm.nih.gov/pubmed/34068364
http://dx.doi.org/10.3390/e23050603

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8153311/
https://www.ncbi.nlm.nih.gov/pubmed/34068364
http://dx.doi.org/10.3390/e23050603

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