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Implicit Value Updating Explains Transitive Inference Performance: The Betasort Model
Transitive inference (the ability to infer that B > D given that B > C and C > D) is a widespread characteristic of serial learning, observed in dozens of species. Despite these robust behavioral effects, reinforcement learning models reliant on reward prediction error or associative streng...
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| Publicado en: | PLoS Comput Biol |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Public Library of Science
2015
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4583549/ https://ncbi.nlm.nih.gov/pubmed/26407227 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1004523 |
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