Policy complexity distributions for each number of actions chosen.

Policy complexity distributions for each number of actions chosen.

<p>Each panel corresponds to the distribution of empirical policy complexity for a particular number of actions chosen (<i>N</i><sub><i>a</i></sub>), across all corresponding participants and RT deadline conditions. The <i>x</i>–axis is scaled to...

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Detalles Bibliográficos
Autor principal:	Shuze Liu (22190737) (author)
Otros Autores:	Samuel Joseph Gershman (22190740) (author)
Publicado:	2025
Materias:	Neuroscience Developmental Biology Science Policy Mental Health Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified xlink "> real understanding human cognition responses across contexts interplay remains underexplored humans flexibly adapt generally valuable options armed bandit experiment action consideration sets limited cognitive resources framework &# 8217 dependent action values policy complexity ), explored cognitive constraints grained resource constraints policy complexity action mappings rational framework dependent manner cognitive load cognitive limitations policy compression unified perspective study demonstrates previous studies preferential sampling option generation normative insight maintain near increased correlation contextual multi complex interaction
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