Bayesian Merging of Opinions and Algorithmic Randomness.

We study the phenomenon of merging of opinions for computationally limited Bayesian agents from the perspective of algorithmic randomness. When they agree on which data streams are algorithmically random, two Bayesian agents beginning the learning process with different priors may be seen as having...

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Detalles Bibliográficos
Publicado en:British Journal for the Philosophy of Science Vol. 76; no. 4; pp. 921 - 953
Autor principal: Zaffora Blando, Francesca
Formato: Artículo
Publicado: University of Chicago Press Dec2025
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Acceso en línea:Ver este registro en EBSCOhost