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Learning to learn about uncertain feedback
Unexpected outcomes can reflect noise in the environment or a change in the current rules. We should ignore noise but shift strategy after rule changes. How we learn to do this is unclear, but one possibility is that it relies on learning to learn in uncertain environments. We propose that acquisiti...
Autores principales: | Faraut, Maïlys C.M., Procyk, Emmanuel, Wilson, Charles R.E. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4749830/ https://www.ncbi.nlm.nih.gov/pubmed/26787780 http://dx.doi.org/10.1101/lm.039768.115 |
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