Modeling the Acquisition of Expertise in a Sequential Decision-Making Task

Sequential decision making is pervasive in everyday behavior. We use a simple binary decision tree task to discover if individuals adopt specific behavioral strategies as they develop expertise in making sequential choices. A hierarchical, Hidden Markov Model-based approach can capture such strategies and, in many cases, predict future behavior.