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Abductive Inference Models for Diagnostic Problem-Solving
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Abductive Inference Models for Diagnostic Problem-Solving (Hardback)

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Synopsis

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 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.

Computing & ITComputer scienceArtificial intelligenceComputing & ITComputer scienceMathematical theory of computation Publisher: Springer-Verlag New York Inc. Publication Date: 26/06/1990 ISBN-13: 9780387973432  Details: Type: Hardback Format: Books
Availability: Currently unavailable to order online.  

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