The well-known local adjustment algorithm for training a
threshold logic unit, TLU, is extended to a local adjustment
algorithm for training a network of TLUs Computer simulations
show that the extension is unsatisfactory.
A new logic for a committee of TLUs, called modified veto logic,
and a local adjustment algorithm...
A digital computer is characterized by the instruction set it executes. Each machine instruction is a bit pattern which is to be interpreted by the central processing unit CPU. The traditional way to interpret a machine instruction is to use random hardware. A contemporary approach is to install a program...
The information processing industry is one of the fastest growing, and most dynamic industries on the scientific as well as business scene, today. Progress in designing and applying computing systems has out raced progress in evaluating their performance. In order to circumvent this trend, there should be a simultaneous development...
The paper describes research on the representation of knowledge. The goal is to develop a formalism which can be used for the testing of hypotheses on the nature of human understanding and as a foundation or artificial intelligence programs. The ideas expressed herein are implemented in a program which converses...
This paper describes a Lesson Generating System for CAI, which, by relieving the course author from the burden of programming, provides an efficient means for developing courseware to augment classroom instruction.
In analyses of multivariate data, a classification of the data into related groups is frequently desired. This is generally referred to as the clustering problem. It has been studied in detail and many clustering algorithms exist. Most of these algorithms, however, require experimenting with the actual data before satisfactory results...