Cognitive mechanisms of learning in sequential decision-making under uncertainty: an experimental and theoretical approach.

ABSTRACT: Learning to make adaptive decisions involves making choices, assessing their consequence, and leveraging this assessment to attain higher rewarding states. Despite vast literature on value-based decision-making, relatively little is known about the cognitive processes underlying decisions in highly uncertain contexts. Real world decisions are rarely accompanied by immediate feedback, explicit rewards, or complete knowledge of the environment. Being able to make informed decisions in such contexts requires significant knowledge about the environment, which can only be gained via exploration. Here we aim at understanding and formalizing the brain mechanisms underlying these processes. To this end, we first designed and performed an experimental task. Human participants had to learn to maximi

SUBMITTER: Cecchini G 

PROVIDER: S-EPMC11346247 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature