Author: SRI International
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Research on Intelligent Question-Answering Systems
This report describes progress toward an “intelligent question-answering system”-a system that can accept facts, retrieve items from memory, and perform logical deductions necessary to answer questions.
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Survey of Artificial Intelligence
The end product of the proposed continuation would be a report or reports in which the major techniques and subject matter of Artificial Intelligence are presented and explained in a coherent and logical manner.
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Advanced Pattern Recognition Techniques
SRI proposes a research study and experimental investigation of computer-aided methods for the recognition of human faces from photographs.
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Shakey the Robot
The first mobile robot that could perceive, plan, and execute assigned tasks.
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Notes on Classification Capacities
Capacities for single element networks and low dimensional multi-element networks are found, and bounds on capacities are discussed for general networks.
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Theoretical and Experimental Investigations in Trainable Pattern-Classifying Systems
Motivation is given for the use of various trainable pattern-classifying structures called linear and piecewise linear (PWL) machines.
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Linear Separability of Signal Space as a Basis for Adaptive Mechanisms
This report reviews the research results of the program entitled “Linear Separability of Signal Space as a Basis for Adaptive Mechanisms”.
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Research in Intelligent Automata (Phase 1)
Stanford Research Institute proposes a program that will ultimately lead to the development of machines that will perform tasks that are presently considered to require human intelligence.
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Calculus of Networks of Adaptive Elements
Describes developments illustrative of the accomplishments of the learning machine research program at Stanford Research Institute.
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An Experimental Comparison of Three Learning Machine Training Rules
This report includes the results of a series of experiments to compare the efficiency of training methods using (1, 0) and (+1,-1) representatives for patterns.
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Classification and Generalization Capabilities of Linear Threshold Units
This report represents work in progress on properties of linear threshold functions.
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Determination and Detection of Features in Patterns
In this paper feature determination as a method of training the first layer of weights in a two layer learning machine (Perceptron)is investigated.