Cogprints

Optimal control methods for simulating the perception of causality in young infants

Schlesinger, Matthew and Barto, Andrew (1999) Optimal control methods for simulating the perception of causality in young infants. [Conference Paper]

This is the latest version of this eprint.

Full text available as:

[img]
Preview
PDF
45Kb

Abstract

There is a growing debate among developmental theorists concerning the perception of causality in young infants. Some theorists advocate a top-down view, e.g., that infants reason about causal events on the basis of intuitive physical principles. Others argue instead for a bottom-up view of infant causal knowledge, in which causal perception emerges from a simple set of associative learning rules. In order to test the limits of the bottom-up view, we propose an optimal control model (OCM) of infant causal perception. OCM is trained to find an optimal pattern of eye movements for maintaining sight of a target object. We first present a series of simulations which illustrate OCM's ability to anticipate the outcome of novel, occluded causal events, and then compare OCM's performance with that of 9-month-old infants. The impications for developmental theory and research are discussed

Item Type:Conference Paper
Subjects:Psychology > Developmental Psychology
Psychology > Perceptual Cognitive Psychology
ID Code:2701
Deposited By:Schlesinger, Matthew
Deposited On:09 Jan 2003
Last Modified:11 Mar 2011 08:55

Available Versions of this Item

Metadata

Repository Staff Only: item control page