ABSTRACT
A. Binet went on to suggest that this “molecular dance” was the same stuff as perception, thus expressing a material monism that can be considered to be an early expression of a neural network theory. Practical robots and the computer skills necessary to control came to dominate the AI world sometimes to the exclusion of the search for the fundamental theories of mind that had originally stimulated neural network theories. Many recent attempts to develop neural network theories have been aimed at the elusive goal of developing an automatic self-organizing or self-tutoring learning system. From the perspective of this new approach, the nodes and elements of classic neural network theory came to mean something entirely different than the original idea of imitation neurons suggested by W. S. McCulloch and W. H. Pitts. To the contrary, the nodes of these new network theories are often traditional modules and faculties of psychological science.
