There is a dichotomy between theoretical and experimental work in Artificial Intelligence (AI). The reasons for this dichotomy are discussed, and AI is compared with other, more mature disciplines in which there is closer cooperation between experimental and theoretical branches.
Charles A. Rosen came to SRI in 1957. I arrived in 1961. Between these dates, Charlie organized an Applied Physics Laboratory and became interested in "learning machines" and "self-organizing systems."
Motivation is given for the use of various trainable pattern-classifying structures called linear and piecewise linear (PWL) machines. The results of various experiments in training are presented. Two different types of training methods were investigated: mode-seeking and error -correction methods.
In this paper we are concerned with the application of sensor-mediated programmable automation to material-handling, inspection, and assembly operations in batch-produced, discrete-part manufacturing.
W. Neuenschwander, Pascal V. Fua, G. Szekely, & O. Kubler
We propose a snake-based approach that lets a user specify only the distant endpoints of the curve he wishes to delineate without having to supply an almost complete polygonal approximation. We greatly simplify the initialization process and achieve much better convergence properties...
