Accession Number : ADP003918

Title :   AI (Artificial Intelligence) Approaches to Troubleshooting,

Corporate Author : XEROX PALO ALTO RESEARCH CENTER CA

Personal Author(s) : De Kleer,J.

Report Date : JUN 1984

Pagination or Media Count : 13

Abstract : Technological machines break faster than we can fix them. From that keen insight, one can make further observations about the two ways to fix them. Right now, both of these approaches don't work very well. Is there a common theory of troubleshooting underlying these two approaches? To put the question another way: Is the theory of troubleshooting underlying human training and human aiding and doing maintenance and different from the theory underlying computer-based test equipment? The argument is often made that there is a fundamental difference because inference is cheap for computers. This, however, remains to be seen. The speaker takes as an objective getting the best computer-based troubleshooting we can.

Descriptors :   *Maintenance management, *Artificial intelligence, *Approach, Repair, Machines, Test equipment, Computer applications

Distribution Statement : APPROVED FOR PUBLIC RELEASE