Humans combine value learning and hypothesis testing strategically in multi-dimensional probabilistic reward learning
Sign Up to like & getrecommendations! Published in 2022 at "PLOS Computational Biology"
DOI: 10.1371/journal.pcbi.1010699
Abstract: Realistic and complex decision tasks often allow for many possible solutions. How do we find the correct one? Introspection suggests a process of trying out solutions one after the other until success. However, such methodical… read more here.
Keywords: hypothesis; multi dimensional; learning; hypothesis testing ... See more keywords
Neural structure mapping in human probabilistic reward learning
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DOI: 10.7554/elife.42816
Abstract: Humans can learn abstract concepts that describe invariances over relational patterns in data. One such concept, known as magnitude, allows stimuli to be compactly represented on a single dimension (i.e. on a mental line). Here,… read more here.
Keywords: structure mapping; mapping human; reward; human probabilistic ... See more keywords