The central goal of my research is to better understand the algorithms, processes and representations that underpin human intelligence. I generally approach this problem by developing computational theories of human learning representation and control.  I design challenging and interactive tasks that distill elements of the challenges faced by natural cognition and have people and my models attempt to solve them. By comparing the behaviour of models to that of people, we can gain insight into the mechanisms that people use to to solve problems and adapt their behaviour. As well as helping to understand human intelligence, insights from my research inform the development of artificial systems capable of learning and behaving in more flexible and human-like ways.

Check out my lab website at https://bramleylab.ppls.ed.ac.uk for more info.