This chapter reviews application areas in which spoken interaction may play a significant role, assesses potential benefits of spoken interaction with machines, and attempts to compare voice with alternative and complementary modalities of human-computer interaction.
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."
This paper describes a mobile robot designed for experimentation in artificial intelligence (AI). Presented here are details of the robot?s hardware and software architecture. The robot is driven by two electrically powered wheels.
As previously reported in Fischler [1984] and Hannah [1984], SRI International is implementing a complete, state-of-the-art stereo system that will produce dense three-dimensional (3-D) data from stereo pairs of intensity images.
Researchers using epistemic logic as a formal framework for studying knowledge properties of artificial-intelligence (AI) systems often interpret the knowledge formula to mean that machine encodes in its state as a syntactic formula or can derive it inferentially.
Jerry R. Hobbs, Douglas E. Appelt, & David Magerman
It is often assumed that when natural language processing meets the real world, the idea of aiming for complete and correct interpretations has to be abandoned.
Martin A. Fischler, Yvan G. Leclerc, Pascal V. Fua, Stephen T. Barnard, & Oscar Firschein
This technical report consists of an introductory paper and three technical papers presented at the session, "AI Application of Supercomputers: The Vision Problem."
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.
Texts are viewed as purposeful transactions whose interpretation requires inferences based on extra-linguistic as well as on linguistic information. Text processors are viewed as systems that model both a theory of text and a theory of information processing.
