Research in the LDN lab addresses how intelligent systems construct and deploy internal models of the world, with a focus on the roles of compositional generalization and intrinsic motivation. Our approach is multipronged, combining experimental psychology with computational cognitive modeling and neuroimaging, in order to characterize the nature of valenced and structured mental representations.