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Structure Learning in Human Sequential Decision-Making
Studies of sequential decision-making in humans frequently find suboptimal performance relative to an ideal actor that has perfect knowledge of the model of how rewards and events are generated in the environment. Rather than being suboptimal, we argue that the learning problem humans face is more c...
Autores principales: | Acuña, Daniel E., Schrater, Paul |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2996460/ https://www.ncbi.nlm.nih.gov/pubmed/21151963 http://dx.doi.org/10.1371/journal.pcbi.1001003 |
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