Stanford Research Institute proposes herewith a new project to continue and draw together the research that was begun under the two projects mentioned.
Today’s robots possess "muscles" only; there is a need to develop intelligent robots that can detect faults and correct errors by using sensors and computer control.
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.
The error due to image quantization in stereoscopically evaluated range is analyzed, using a simple camera model and assuming that the image planes of the two cameras are coplanar.
Nils J. Nilsson, H.G. Barrow, L. Stephen Coles, G. Gleason, B. Meyer, & David Nitzan
This report describes interim results of a project to specify special equipment for research in Artificial Intelligence. After surveying several potential users it was decided that there was a need for standardized equipment for robot research.
We describe in this paper a subjective Bayesian inference method that realizes some of the advantages of both formal and informal approaches. Of particular interest are the modifications needed to deal with the inconsistencies usually found in collections of subjective statements.
A Proposal for Research to survey the field of artificial intelligence. The end product of the proposed research would be a report in which the major techniques and subject matter of artificial intelligence are presented and explained in a coherent and logical manner.
