Psychological models of intelligent behavior have increasingly used concepts from computer science, especially Artificial Intelligence. In this paper we review some perhaps lesser know AI ideas that might also have utility in psychological modeling.
Richard E. Fikes, Peter E. Hart, & Nils J. Nilsson
For the past several years research on robot problem-solving methods has centered on what may one day be called "simple" plans: linear sequences of actions to be performed by single robots to achieve single goals in static environments.
In this paper we ask if another major class of speaker recognition models, those based on MLLR speaker adaptation transforms, can also benefit from region-constrained feature extraction.
Natural language output can be generated from semantic nets by processing templates associated with concepts in the net. A set of verb templates is being derived from a study of the surface syntax of some 3000 English verbs.
Stanford Research Institute is participating in a major program of research on the analysis of continuous speech by computer. The goal is the development of a speech understanding system capable of engaging a human operator in a natural conversation about a specific problem domain.
This research outlines the predominant dialogue and performance characteristics of three-person interpreted telephone speech during service-oriented dialogues, in comparison with those of two-person non-interpreted dialogues.
Yvan G. Leclerc, M. Reddy, M. Eriksen, J. Brecht, & D. Colleen
The goal of SRI International’s Digital Earth project was to develop the infrastructure for an open, distributed, multiresolution, 3-D representation of the earth, into which massive quantities of georeferenced information can be embedded.
A new approach to the formulation and solution of the problem of recovering scene topography from a stereo image pair is presented. The approach circumvents the need to solve the correspondence problem, returning a solution that makes surface interpolation unnecessary.
