Nicolas W. Schuck

Jun 10, 2024 | biorxiv.org | Momchil S. Tomov |Samuel J. Gershman |Nicolas W. Schuck

AbstractGeneralisation from past experience is an important feature of intelligent systems. When faced with a new task, efficient generalisation can be achieved by evaluating solutions to earlier tasks as candidates for reuse. Consistent with this idea, we found that human participants (n=40) learned optimal solutions to a set of training tasks and continued to reuse them on novel test tasks.

Jan 24, 2024 | biorxiv.org | Eric Schulz |Nicolas W. Schuck |Noa L. Hedrich

AbstractIdentifying goal-relevant features in novel environments is a central challenge for efficient behaviour. We asked whether humans address this challenge by relying on prior knowledge about common properties of reward-predicting features. One such property is the rate of change of features, given that behaviourally relevant processes tend to change on a slower timescale than noise. Hence, we asked whether humans are biased to learn more when task-relevant features are slow rather than fast.