Abstract
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.
Original language | English (US) |
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Pages (from-to) | 260-276 |
Number of pages | 17 |
Journal | Proceedings of SPIE - The International Society for Optical Engineering |
Volume | 634 |
DOIs | |
State | Published - Feb 13 1986 |
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering