Abductive Inference Models for Diagnostic Problem-Solving |
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Author:
| Peng, Yun Reggia, James A. |
Editor:
| Loveland, D. W. Amarel, S. Biermann, A. Bolc, Leonard Bundy, Alan Gallaire, Herve Hayes, P. Joshi, A. |
Series title: | Symbolic Computation Ser. |
ISBN: | 978-0-387-97343-2 |
Publication Date: | Jan 1990 |
Publisher: | Springer
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Book Format: | Hardback |
List Price: | AUD $318.95 |
Book Description:
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Making a diagnosis when something goes wrong with a natural or m- made system can be difficult. In many fields, such as medicine or electr- ics, a long training period and apprenticeship are required to become a skilled diagnostician. During this time a novice diagnostician is asked to assimilate a large amount of knowledge about the class of systems to be diagnosed. In contrast, the novice is not really taught how to reason with this knowledge in arriving at a conclusion or a...
More DescriptionMaking a diagnosis when something goes wrong with a natural or m- made system can be difficult. In many fields, such as medicine or electr- ics, a long training period and apprenticeship are required to become a skilled diagnostician. During this time a novice diagnostician is asked to assimilate a large amount of knowledge about the class of systems to be diagnosed. In contrast, the novice is not really taught how to reason with this knowledge in arriving at a conclusion or a diagnosis, except perhaps implicitly through ease examples. This would seem to indicate that many of the essential aspects of diagnostic reasoning are a type of intuiti- based, common sense reasoning. More precisely, diagnostic reasoning can be classified as a type of inf- ence known as abductive reasoning or abduction. Abduction is defined to be a process of generating a plausible explanation for a given set of obs- vations or facts. Although mentioned in Aristotle's work, the study of f- mal aspects of abduction did not really start until about a century ago.