Proceedings of the Annual Meeting of the Cognitive Science Society

Lee, Gluck, and Walsh (2019) developed a series of Bayesian inference models that use multiple behavioral measuresto infer the use and switching of strategies in a decision-making task. Their approach addresses common deficiencies instrategy inference, such as the assumption that participants use a single fixed strategy and the methodological reliancesolely on decision outcomes to inform inference. These deficiencies are addressed by incorporating trial-level informationprocessing data and by allowing switch points in strategy use throughout the experiment protocol. Here we evaluate thegeneralizability of this approach using data from a Brunswik face category learning experiment (Gluck, Staszewski, Rich-man, Simon, & Delahanty, 2001). Results support the cross-domain generalizability of the Bayesian inference models forinferring both strategy use and switching using multiple sources of behavior. We compare these results to the conclusionsreached in the original research by Gluck et al. (2001).