Retrospective Inference as a Form of Bounded Rationality, and Its Beneficial Influence on Learning

Probabilistic models of cognition typically assume that agents make inferences about current states by combining new sensory information with fixed beliefs about the past, an approach known as Bayesian filtering. This is computationally parsimonious, but, in general, leads to suboptimal beliefs abou...

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Detalles Bibliográficos
Autores principales: FitzGerald, Thomas H. B., Penny, Will D., Bonnici, Heidi M., Adams, Rick A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7861256/
https://www.ncbi.nlm.nih.gov/pubmed/33733122
http://dx.doi.org/10.3389/frai.2020.00002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7861256/
https://www.ncbi.nlm.nih.gov/pubmed/33733122
http://dx.doi.org/10.3389/frai.2020.00002

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