Addresses philosophical grounds for artificial intelligence (AI) and cybernetic models by investigating three epistemological views--realism, a priorism, and phenomenology--to determine the problems in information transfer between a model and the real world. It is suggested that phenomenology demonstrates the most promise for opening up…

Discusses natural and artificial intelligence and indicates that, although our knowledge of bionics is growing, there is as yet no sufficiently complete model of artificial intelligence. (JR)

A digital simulation of a model for the processing of visual images is derived from known aspects of the human visual system. The fundamental principle of computation suggested by a biological model is a transformation that distributes information contained in an input stimulus everywhere in a transform domain. Each sensory input contributes under…

A basic unsolved problem in science is that of understanding learning, the process by which people and machines use their experience in a situation to guide future action in similar situations. The ideas of Piaget, Pavlov, Hull, and other learning theorists, as well as previous heuristic programing models of human intelligence, stimulated this…

This paper presents the concepts of a computer-directed system to improve human performance in structured learning situations. Attention is focused on finite-state systems in order to provide a systematic method for constructing training systems and to assist in analysis of problem solving and curriculum planning. The finite-state approach allows…