The computational cost of active information sampling before decision-making under uncertainty
Humans often seek information to minimize the pervasive effect of uncertainty on decisions. Current theories explain how much knowledge people should gather before a decision, based on the cost-benefit structure of the problem at hand. Here, we demonstrate that this framework omits a crucial agent-r...
| Auteurs principaux: | , , , |
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| Format: | Journal article |
| Langue: | English |
| Publié: |
Nature Research
2021
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