Accession Number : AD0427771
Title : THEORY OF PROBABILITY STATE VARIABLE SYSTEMS, VOLUME VI: PERCEPTION, DECISION-MAKING, AND ACTION.
Descriptive Note : Final rept., 15 Oct 61-14 Oct 62,
Corporate Author : ADAPTRONICS INC MCLEAN VA
Personal Author(s) : Lee,R. J.
Report Date : DEC 1963
Pagination or Media Count : 192
Abstract : This report discusses approaches whereby Neurotron Networks can be used to provide pattern recognition, autonomous decision-making, and action. The intent is to illustrate the versatility of Neurotron networks, and their potential application to actual problems, and to provide a framework for the mathematical studies of PSV systems. To illustrate pattern recognition, an artificial fovea with jitter analogous to the human eye is described, and how this, together with a Neurotron network, can learn to assign meaning to symbols, including the ability to learn to recognize handprinted letters. To illustrate autonomous decision-making, it is shown how a Neurotron network can develop its own strategy for playing chess. To illustrate action, it is shown how a Neurotron network can learn to control an arm and hand with visual, tactile, and kinesthetic feedback, and it is shown how a Neurotron network can learn to drive suitable output devices to mimic a simple tune. (Author)
Descriptors : (*READING MACHINES, PATTERN RECOGNITION), (*ARTIFICIAL INTELLIGENCE, INPUT OUTPUT DEVICES), DATA PROCESSING, BIONICS, DECISION MAKING, LEARNING, THEORY, PERCEPTION, ACTUATORS, SENSES(PHYSIOLOGY), NETWORKS, CONTROL SYSTEMS, GAME THEORY, CYBERNETICS
Distribution Statement : APPROVED FOR PUBLIC RELEASE