Networks composed of layers of adaptive elements provide a
rigorous explanation for complex associative learning
phenomena. In particular, a network composed of three
adaptive elements can explain previously intractable
phenomena, namely the rapid rate of reacquisitions,
learning-to-learn, spontaneous configuration, and negative
patterning (the exclusive-OR problem). This paper will
compare the results of computer simulations to the
behavioral results of classical conditioning experiments
using the rabbit's nictitating membrane response.
