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Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning.

The ability to acquire abstract knowledge is a hallmark of human intelligence and is believed by many to be one of the core differences between humans and neural network models. Agents can be endowed with an inductive bias towards abstraction through meta-learning, where they are trained on a distri...

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Detalhes bibliográficos
Principais autores: Sreejan Kumar, Ishita Dasgupta, Nathaniel D Daw, Jonathan D Cohen, Thomas L Griffiths
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science (PLoS) 2023-08-01
Colecção:PLoS Computational Biology
Acesso em linha:https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011316&type=printable
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