January 28, 2022 – Scott Linderman

Reconciling empirical, algorithmic, and Bayesian models of mouse behavior in two-armed bandit tasks In probabilistic and nonstationary environments, individuals must combine internal state and external cues to make decisions that lead to desirable outcomes. The two-armed bandit task (2ABT) and its generalizations offer a fruitful testbed for experimentally and theoretically investigating such decision-making behavior. We trained mice […]

February 18, 2022 – Breden Lake

Compositional generalization in minds and machines People learn in fast and flexible ways that elude the best artificial neural networks. Once a person learns how to “dax,” they can effortlessly understand how to “dax twice” or “dax vigorously” thanks to their compositional skills. In this talk, we examine how people and machines generalize compositionally in […]