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A model for goal oriented learning in a neural network
A mathematical model for goal oriented learning in a
network of neuron-like elements was developed. Using a
mouse/goal box analogy, a simulation of a network with four
elements was programmed in Turbo Pascal, Version 4.0 (Borland
International) to test the model. Each location in the
network corresponded to a particular network input. The
output of the network consisted of one of four behaviors:
forward, backward, left or right. The network successfully
learned sequences of up to six movements in increasingly