Title :
Temporal, Environmental, and Social Constraints of Word-Referent Learning in Young Infants: A Neurorobotic Model of Multimodal Habituation
Author :
Veale, Richard ; Schermerhorn, Paul ; Scheutz, Matthias
Author_Institution :
Human-Robot Interaction Lab., Indiana Univ., Bloomington, IN, USA
fDate :
6/1/2011 12:00:00 AM
Abstract :
Infants are able to adaptively associate auditory stimuli with visual stimuli even in their first year of life, as demonstrated by multimodal habituation studies. Different from language acquisition during later developmental stages, this adaptive learning in young infants is temporary and still very much stimulus-driven. Hence, temporal aspects of environmental and social factors figure crucially in the formation of prelexical multimodal associations. Study of these associations can offer important clues regarding how semantics are bootstrapped in real-world embodied infants. In this paper, we present a neuroanatomically based embodied computational model of multimodal habituation to explore the temporal and social constraints on the learning observed in very young infants. In particular, the model is able to explain empirical results showing that auditory word stimuli must be presented synchronously with visual stimulus movement for the two to be associated.
Keywords :
bootstrapping; environmental factors; learning (artificial intelligence); medical computing; medical robotics; neurophysiology; physiological models; adaptive learning; adaptively associate auditory stimuli; auditory word stimuli; multimodal habituation; neuroanatomically based embodied computational model; neurorobotic model; prelexical multimodal associations; semantics; visual stimuli; visual stimulus movement; word-referent learning; young infants; Biological system modeling; Brain modeling; Computational modeling; Integrated circuit modeling; Neurons; Pediatrics; Visualization; Artificial intelligence; cognitive science; developmental robotics; embodied cognition; neural model;
Journal_Title :
Autonomous Mental Development, IEEE Transactions on
DOI :
10.1109/TAMD.2010.2100043