title: A lesson from robotics: Modeling infants as autonomous agents
creator: Schlesinger, Matthew
subject: Applied Cognitive Psychology
subject: Machine Learning
subject: Artificial Intelligence
description: While computational models are playing an increasingly important role in developmental psychology, at least one lesson from robotics is still being learned: modeling epigenetic processes often requires simulating an embodied, autonomous organism. This paper first contrasts prevailing models of infant cognition with an agent-based approach. A series of infant studies by Baillargeon (1986; Baillargeon & DeVos, 1991) is described, and an eye-movement model is then used to simulate infants' visual activity in this study. I conclude by describing three behavioral predictions of the eyemovement model, and discussing the implications of this work for infant cognition research.
publisher: Lund University Cognitive Studies
contributor: Prince, Christopher G.
contributor: Demiris, Yiannis
contributor: Marom, Yuval
contributor: Kozima, Hideki
contributor: Balkenius, Christian
date: 2002
type: Conference Paper
type: PeerReviewed
format: application/pdf
identifier: http://cogprints.org/2525/1/Schlesinger.pdf
identifier:   Schlesinger, Matthew  (2002) A lesson from robotics: Modeling infants as autonomous agents.  [Conference Paper]     
relation: http://cogprints.org/2525/