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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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Detalles Bibliográficos
Autores principales: Jensen, Greg, Muñoz, Fabian, Alkan, Yelda, Ferrera, Vincent P., Terrace, Herbert S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
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