Leonard Uhr was born in Philadelphia, Pennsylvania in 1927. He received his B.A. from Princeton and Ph. D. from University of Michigan in 1957, in psychology. He was a Research Scientist at the Mental Health Research Institute and an Associate Professor of Psychology at University of Michigan, leaving in 1965 to become a Professor of Computer Sciences at the University of Wisconsin. He conducted a number of experiments on the behavioral effects of psychoactive drugs, including tranquilizers, psychic energizers and hallucinogenic agents, publishing two books: Drugs and Behavior, and Drugs and Phantasy, as well as a number of papers. He soon became interested in the potential power of the computer as a tool with which to model intellectual functions, especially perception and learning. He has written computer programs on pattern recognition, scene description, perceptual learning and language learning, using the kinds of processes that human beings seem to use. He has published over 100 papers on various aspects of this research, and also two books : Pattern and Pattern Recognition, Learning and Thought. His long-term goal is to develop a program that models the integrated wholistic cognitive functions performed by any ordinary human . being. For example, the wayan infant learns to recognize and pick up to a piece of fruit , or the way an adult learns how to handle a new set of knobs on a new stereo receiver. These appear to be simple tasks compared to playing world-championshiop chess or proving new mathematical theorems, and any non-impaired human being can handle them. But they are at the heart of human intelligence which we still know so little about. (Modeling of human cognitive functions will inevitably lead to more intelligent computers, since we can then program our understanding into the computer.) Professor Uhr is also interested in the new large arrays and networks of computers that are now being developed. These are necessary to model the brain, and to effect such highly parallel tasks as perception and recognition, or control of a motor system in real time. Finally, he has been trying to develop a self-organizing responsive computer network that would draw its users into the system, in a mutual effort to build, add to and improve upon the resources of the system. This is one example of the kind of participant-responsive system discussed in the accompanying editorial.
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