Our research
The goal of our research is to understand the learning and decision processes which allow humans to function effectively in an uncertain and dynamic world. By developing computational models and assessing how they compare to human behaviour in experimental tasks, we hope to gain deeper insight into how information is processed and represented during learning and decision making.
Decisions in an uncertain and changing world
How do people learn to make better decisions from experience?
Learning pro-environmental behaviours from traces
How do people learn to behave pro-environmentally by observing traces of other people’s actions?
Mental disorders as atypical social learning processes
Relation between social learning and mental health disorders
