We use a research approach involving laboratory experiments and cognitive computational models. We study human behavior by observing and collecting human performance in a dynamic task, and develop cognitive models that reproduce that behavior and predict new unobserved behavior within the same task.
Decision Making Games (MicroWorlds)
Our main laboratory's research tasks are interactive computer simulations that represent decision making situations. They are environments characterized by the need for people to make multiple, interdependent, real-time decisions in reaction to both external changes and to the effects of their past decisions.
We have created DMGames in many diverse contexts, including examples for dynamic resource allocation, medical diagnosis, supply chain management, climate change and CO2 accumulation, as well as other generic choice and control task.
Instance-Based Learning Models are developed within our theoretical approach: Instance-Based Learning Tools (IBLT)
Examples of IBL Models and tools for developing IBL Models can be found here.