BEHAVIOR ANALYSIS AND ARTIFICIAL NEURAL NETWORKS

Abstract

This article provides an overview of Artificial Neural Networks (ANNsl, including

architecture and several learning algorithms. Reviewed algorithms include Hebbian,

Rescorla-Wagner, Sutton-Barto (1981), and Hutchison's. In addition, the contributions

Behavior Analysts have made to ANN development, as well as the effect ANN's have

made on behavior analysis, is discussed. Finally, several applications of ANNs by

Behavioral Analysts are reviewed.