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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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Autori principali: Sreejan Kumar, Ishita Dasgupta, Nathaniel D Daw, Jonathan D Cohen, Thomas L Griffiths
Natura: Artigo
Lingua:Inglês
Pubblicazione: Public Library of Science (PLoS) 2023-08-01
Serie:PLoS Computational Biology
Accesso online:https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011316&type=printable
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