Main content
Implicit attitudes and reinforcement learning: A first investigation
Date created: | Last Updated:
: DOI | ARK
Creating DOI. Please wait...
Category: Project
Description: In an attempt to provide a computational account of the relationship between implicit attitudes and value-guided learning and decision making, the present project probes whether IAT scores predict differential learning rates (readiness to update value estimates) and inverse temperatures (willingness to base choice behavior on updated value estimates) across attitude-consistent vs. attitude-inconsistent interactions in a reinforcement learning paradigm.
Start managing your projects on the OSF today.
Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.