What is learned in sequential learning? An associative model of reward magnitude serial-pattern learning.

  title={What is learned in sequential learning? An associative model of reward magnitude serial-pattern learning.},
  author={Douglas G. Wallace and Stephen B. Fountain},
  journal={Journal of experimental psychology. Animal behavior processes},
  volume={28 1},
A computational model of sequence learning is described that is based on pairwise associations and generalization. Simulations by the model predicted that rats should learn a long monotonic pattern of food quantities better than a nonmonotonic pattern, as predicted by rule-learning theory, and that they should learn a short nonmonotonic pattern with highly discriminable elements better than 1 with less discriminable elements, as predicted by interitem association theory. In 2 other studies, the… CONTINUE READING
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