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Diagnosis: reasoning from first principles and experiential knowledge
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Williams, Linda J. F. Lawler, Dennis G. |
| Copyright Year | 1987 |
| Description | Completeness, efficiency and autonomy are requirements for suture diagnostic reasoning systems. Methods for automating diagnostic reasoning systems include diagnosis from first principles (i.e., reasoning from a thorough description of structure and behavior) and diagnosis from experiential knowledge (i.e., reasoning from a set of examples obtained from experts). However, implementation of either as a single reasoning method fails to meet these requirements. The approach of combining reasoning from first principles and reasoning from experiential knowledge does address the requirements discussed above and can possibly ease some of the difficulties associated with knowledge acquisition by allowing developers to systematically enumerate a portion of the knowledge necessary to build the diagnosis program. The ability to enumerate knowledge systematically facilitates defining the program's scope, completeness, and competence and assists in bounding, controlling, and guiding the knowledge acquisition process. |
| File Size | 471045 |
| Page Count | 6 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19880007852 |
| Archival Resource Key | ark:/13960/t6b32rk9d |
| Language | English |
| Publisher Date | 1987-10-01 |
| Access Restriction | Open |
| Subject Keyword | Cybernetics Experience Error Analysis Knowledge Representation Automatic Control Diagnosis Artificial Intelligence Expert Systems Computer Programs Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |
