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.
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