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Research in the Learning & Decision Neuroscience Lab addresses how intelligent systems construct and deploy internal models of the world, particularly with respect to the roles of agency, causality, and compositionality. Our approach is multidisciplinary, drawing on a wide range of methods from psychology, neuroscience, statistics, and computer science. Generally, we combine innovative experimental designs with computational cognitive modeling, neuroimaging, and (sub)clinical populations, in order to characterize the nature of valanced and structured representations in cognition, perception, & motivated behavior.