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Abductive Inference Models for Diagnostic Problem-Solving Softcover Repri Edition
Contributor(s): Peng, Yun (Author), Reggia, James A. (Author)

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 ISBN: 1461264502     ISBN-13: 9781461264507
Publisher: Springer
OUR PRICE: $104.49  

Binding Type: Paperback
Published: November 2012
Qty:
Additional Information
BISAC Categories:
- Computers | Intelligence (ai) & Semantics
Dewey: 006.3
Physical Information: 0.63" H x 6.14" W x 9.21" L (0.93 lbs) 285 pages
Features: Bibliography
 
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Publisher Description:
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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