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BUCKLE: A Model of Unobserved Cause Learning

Dealing with alternative causes is necessary to avoid making inaccurate causal inferences from covariation data. However, information about alternative causes is frequently unavailable, rendering them unobserved. The current article reviews the way in which current learning models deal, or could dea...

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Detalhes bibliográficos
Main Authors: Luhmann, Christian C., Ahn, Woo-kyoung
Formato: Artigo
Idioma:Inglês
Publicado em: 2007
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC2659393/
https://ncbi.nlm.nih.gov/pubmed/17638500
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1037/0033-295X.114.3.657
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