Current models of psychological development rely heavily on connectionist
models that use supervised learning. These models adapt network weights
when the network output does not match the target outputs computed
by some agent. The authors present a model of motor learning in which
the child uses exploration to discover appropriate ways of responding.
The model is consistent with what is known about how neural systems
evaluate behavior. The authors model the development of reaching
and investigate N. Bernstein's (1967) hypotheses about early motor
learning. Simulations show the course of learning as well as model
the kinematics of reaching by a dynamical arm.
Modell der Entwicklung von Reichbewegungen. Es gibt ein actor (waehlt
aktion) und ein kritik (schaetzt wert der aktion). Wenn zufällig
eine andere bewegung ausgefuehrt wird, die sich als besser-wertig
herausstellt, wird die alte aktion durch die neue ersetzt und der
critic angepasst. ein simpler 2-dof (4-dof, davon nur 2 benutzt)
lernt so zielbewegungen. motor noise beschleunigt den lernprozess.
%0 Journal Article
%1 Berthier:2005
%A Berthier, N. E.
%A Rosenstein, M. T.
%A Barto, A. G.
%D 2005
%J Psychological Review
%K actor cmac, critic, developmental learning, motor noise, psychology, reaching reinforcement
%P 329-346
%T Approximate Optimal Control as a Model for Motor Learning
%V 112
%X Current models of psychological development rely heavily on connectionist
models that use supervised learning. These models adapt network weights
when the network output does not match the target outputs computed
by some agent. The authors present a model of motor learning in which
the child uses exploration to discover appropriate ways of responding.
The model is consistent with what is known about how neural systems
evaluate behavior. The authors model the development of reaching
and investigate N. Bernstein's (1967) hypotheses about early motor
learning. Simulations show the course of learning as well as model
the kinematics of reaching by a dynamical arm.
@article{Berthier:2005,
abstract = {Current models of psychological development rely heavily on connectionist
models that use supervised learning. These models adapt network weights
when the network output does not match the target outputs computed
by some agent. The authors present a model of motor learning in which
the child uses exploration to discover appropriate ways of responding.
The model is consistent with what is known about how neural systems
evaluate behavior. The authors model the development of reaching
and investigate N. Bernstein's (1967) hypotheses about early motor
learning. Simulations show the course of learning as well as model
the kinematics of reaching by a dynamical arm.},
added-at = {2009-06-26T15:25:19.000+0200},
author = {Berthier, N. E. and Rosenstein, M. T. and Barto, A. G.},
biburl = {https://www.bibsonomy.org/bibtex/23f3e2c2a098236f3c84ae33f556982c6/butz},
comment = {Modell der Entwicklung von Reichbewegungen. Es gibt ein actor (waehlt
aktion) und ein kritik (schaetzt wert der aktion). Wenn zufällig
eine andere bewegung ausgefuehrt wird, die sich als besser-wertig
herausstellt, wird die alte aktion durch die neue ersetzt und der
critic angepasst. ein simpler 2-dof (4-dof, davon nur 2 benutzt)
lernt so zielbewegungen. motor noise beschleunigt den lernprozess.},
description = {diverse cognitive systems bib},
interhash = {62b4c5322178332768cf2ff5951898ab},
intrahash = {3f3e2c2a098236f3c84ae33f556982c6},
journal = {Psychological Review},
keywords = {actor cmac, critic, developmental learning, motor noise, psychology, reaching reinforcement},
owner = {martin},
pages = {329-346},
timestamp = {2009-06-26T15:25:21.000+0200},
title = {Approximate Optimal Control as a Model for Motor Learning},
volume = 112,
year = 2005
}