Valentin Wyart
Profile Url: valentin-wyart
Researcher at École normale supérieure, PSL University, INSERM
In uncertain environments, seeking information about the accuracy of alternative strategies is essential for adapting behavior to changes in task contingencies. However, information seeking often co-occurs with changes-of-mind about the perceived accuracy of the current strategy, making it difficult to isolate its specific mechanisms. Here we leveraged the fact that genuine information seeking requires instrumental control to study its cognitive signatures in an adaptive decision-making task tested with and without control. We found that changes-of-mind occurring in controllable environments require more evidence against the current strategy, are associated with reduced confidence, but are nevertheless more likely to be confirmed on the next decision. Computational modelling explained these effects of information seeking through a decrease in the perceived volatility of controllable environments, resulting in stronger and more prolonged effects of changes-of-mind on cognition and behavior. Together, these findings explain the high degree of subjective uncertainty associated with information seeking.
Making accurate decisions in uncertain environments requires identifying the generative cause of sensory cues, but also the expected outcomes of possible actions. Although both cognitive processes can be formalized as Bayesian inference, they are commonly studied using different experimental frameworks, making their formal comparison difficult. Here, by framing a reversal learning task either as cue-based or outcome-based inference, we found that humans perceive the same volatile environment as more stable when inferring its hidden state by interaction with uncertain outcomes than by observation of equally uncertain cues. Multivariate patterns of magnetoencephalo-graphic (MEG) activity reflected this behavioral difference in the neural interaction between inferred beliefs and incoming evidence, an effect originating from associative regions in the temporal lobe. Together, these findings indicate that the degree of control over the sampling of volatile environments shapes human learning and decision-making under uncertainty. ### Competing Interest Statement The authors have declared no competing interest.