Abductive Inference Models for Diagnostic Problem-Solving
Peng, Yun; Reggia, James A.
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Description for Abductive Inference Models for Diagnostic Problem-Solving
Paperback. Series: Symbolic computation/Artificial Intelligence. Num Pages: 285 pages, biography. BIC Classification: UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 16. Weight in Grams: 462.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2012
Publisher
Springer-Verlag New York Inc. United States
Number of pages
285
Condition
New
Series
Symbolic computation/Artificial Intelligence
Number of Pages
285
Place of Publication
New York, NY, United States
ISBN
9781461264507
SKU
V9781461264507
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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