Most areas of cognitive psychology have recognized the power of computational and mathematical models and have embraced their benefits to rigorous theorizing. One illustration of this trend is the growing popularity of Bayesian approaches to cognitive modelling.
This powerful trend comes, however, at a cost: The complexity of models and modelling techniques renders it increasingly difficult for non-experts to acquire the necessary skills and then keep pace with developments.
This meeting is dedicated to introducing researchers to the basic techniques of computational and mathematical modelling from the ground up and in a hands-on manner. The senior faculty represent a broad range of expertise and are all research leaders in their field with extensive experience in teaching of modelling.
On the first day of Computational and Mathematical Modeling of Cognition, attendees will present posters about their own work.
Applications for Computational and Mathematical Modeling of Cognition 2016 closed on April 30, 2016.