title: A Developmental Organization for Robot Behavior
creator: Grupen, Roderic A.
subject: Machine Learning
subject: Artificial Intelligence
subject: Robotics
description: This paper focuses on exploring how learning and development can be structured in synthetic (robot) systems. We present a developmental assembler for constructing reusable and temporally extended actions in a sequence. The discussion adopts the traditions of dynamic pattern theory in which behavior is an artifact of coupled dynamical systems with a number of controllable degrees of freedom. In our model, the events that delineate control decisions are derived from the pattern of (dis)equilibria on a working subset of sensorimotor policies. We show how this architecture can be used to accomplish sequential knowledge gathering and representation tasks and provide examples of the kind of developmental milestones that this approach has already produced in our lab.
publisher: Lund University Cognitive Studies
contributor: Prince, Christopher G.
contributor: Berthouze, Luc
contributor: Kozima, Hideki
contributor: Bullock, Daniel
contributor: Stojanov, Georgi
contributor: Balkenius, Christian
date: 2003
type: Conference Paper
type: PeerReviewed
format: application/pdf
identifier: http://cogprints.org/3366/1/Grupen.pdf
identifier:   Grupen, Roderic A.  (2003) A Developmental Organization for Robot Behavior.  [Conference Paper]     
relation: http://cogprints.org/3366/