| Download | - View accepted manuscript: A Perspective on Explanation in Diagnosis (PDF, 205 KiB)
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| Author | Search for: Abu-Hakima, Suhayya |
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| Format | Text, Article |
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| Conference | International Joint Conference on Artificial Intelligence (IJCAI) Workshop on Explanation and Problem Solving, August 29, 1993, Chambery, France |
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| Abstract | This position paper argues that causal explanation in diagnostic tasks are more easily achieved in fault-based or failure-driven reasoning versus model-based reasoning. Fault-based or failure-driven diagnosis is more of a contextual task and can more easily be used to support user interaction through explanation than model-based diagnosis. A problem with fault-based reasoning that is often cited is the difficulty in reasoning about novel faults. In response to this key problem researchers in diagnostic systems are examining model-based reasoning. The latter approach is computationally expensive and in an effort to make it more efficient it is sometimes combined with fault-based reasoning techniques. The paper elaborates on explanations in RATIONALE and reasoning in JETA, both fault-based diagnostic systems. It also describes model-based diagnosis. Some of the issues and approaches needed to achieve causal explanation in model-based reasoning by integrating it with fault-based reasoning conclude the paper. |
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| Publication date | 1993 |
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| In | |
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| Language | English |
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| NRC number | NRCC 35095 |
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| NPARC number | 8914139 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | adb278da-8c06-46dc-8c89-377df61870da |
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| Record created | 2009-04-22 |
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| Record modified | 2020-04-24 |
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