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| Content Provider | ACM Digital Library |
|---|---|
| Author | Rowland, James Gordin, Douglas Vesonder, Gregg Foxvog, Douglas Surko, Pamela |
| Abstract | OKIES is an expert system that troubleshoots newly assembled AT&T 3B2 computer systems. All AT&T 3B2 models and configurations are analyzed by OKIES. The expert system uses an architecture-based design to apply the same knowledge to different machines. An architectural model of the machine is constructed when the session begins. This model is used to determine which tests are applicable, the components that compose the machine, and how the machine should be fixed.OKIES was built as a production system using the OPS/83[1] language. All inference is done by matching. No search or backtracking is performed. The first OKIES prototype used rules generated by a conceptual clustering system.A diagnosis is interactively developed by first having the user pick among problem descriptions. The expert system then refines this by asking the user questions. For instance, the user is asked to examine hardware connections, run tests and report on error messages. If the expert system still can not classify the problem it requests further tests or presents a new problem classification. After determining the problem a treatment is prescribed. The treatment depends on the problem found, the machine's configuration, and the machine's prior history.The current organization of OKIES is presented along with a description of the process by which it was built. Initially the system was developed ad hoc with structure later imposed. Specifically, generalization and decision trees were used to organize the knowledge. |
| Starting Page | 24 |
| Ending Page | 28 |
| Page Count | 5 |
| File Format | |
| ISBN | 0897912713 |
| DOI | 10.1145/51909.51912 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 1988-06-01 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Content Type | Text |
| Resource Type | Article |
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