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Abductive Inference Models for Diagnostic Problem-Solving

Download or Read eBook Abductive Inference Models for Diagnostic Problem-Solving PDF written by Yun Peng and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 293 pages. Available in PDF, EPUB and Kindle.
Abductive Inference Models for Diagnostic Problem-Solving
Author :
Publisher : Springer Science & Business Media
Total Pages : 293
Release :
ISBN-10 : 9781441986825
ISBN-13 : 1441986820
Rating : 4/5 (25 Downloads)

Book Synopsis Abductive Inference Models for Diagnostic Problem-Solving by : Yun Peng

Book excerpt: 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.


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