We present a domain-general framework called constrained attentional associative learning to provide a developmental account for how and when infants form concepts for animates and inanimates that encapsulate not only their surface appearance but also their movement characteristics. Six simulations with the same general-purpose architecture implement the features of the theory to model infant behavior in learning about objects’ motion trajectory, their causal role, their onset of motion, and the initial mapping between a label and a moving object. Behavioral experiments with infants tested novel hypotheses generated by the model, showing that verbal labels initially may be associated with specific features rather than overall shape. Implications of the framework and model are discussed in relation to the mechanisms of early learning, the development of the animate–inanimate distinction, and the nature of development in the first years of life.
About the Author
David H. Rakison (D.Phil., University of Sussex, 1997) is an Associate Professor of Psychology at the Carnegie Mellon University. His research has focused on the development of categorization and induction in first years of life. In particular, he has studied when and how infants form representations for the various properties of animates and inanimates in the world. He has edited two books on early category and concept development.
Gary Lupyan is a graduate student in the Department of Psychology Carnegie Mellon University and the Center for the Neural Basis of Cognition. His main interest is in the effects of language on categorization, memory, and attention.
Features
Discusses mechanisms of early learning, the development of the animate–inanimate distinction, and the nature of development in the first years of life
Behavioral experiments with infants test novel hypotheses
