Concepts In Distributed Systems
James A. D. W. Anderson, Richard M. Golden, Gregory L. Murphy · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1986
We describe a parallel, distributed, associative model based on Hebbian modification of connection strengths between simple elements. Some extensions to the simple model are described and interpretations of the model as a gradient descent algorithm and as maximizing a probability density function are given. The model is applied to concept formation, since most versions of this modelling approach form equivalence classes of inputs that act like much like psychological concepts. Some computer simulations of concept-like behavior are described. Some kinds of computation can be performed effectively with these techniques.