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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2015
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4583549/ https://www.ncbi.nlm.nih.gov/pubmed/26407227 http://dx.doi.org/10.1371/journal.pcbi.1004523 |