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Probabilistic coherence, logical consistency, and Bayesian learning: Neural language models as epistemic agents

It is argued that suitably trained neural language models exhibit key properties of epistemic agency: they hold probabilistically coherent and logically consistent degrees of belief, which they can rationally revise in the face of novel evidence. To this purpose, we conduct computational experiments...

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Detalles Bibliográficos
Autores principales: Betz, Gregor, Richardson, Kyle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9910757/
https://www.ncbi.nlm.nih.gov/pubmed/36758000
http://dx.doi.org/10.1371/journal.pone.0281372

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