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
Hardback. Talks about reasoning with causal associations during diagnostic problem-solving. This book develops a mathematical model called parsimonious covering theory and links it with probability theory. Series: Symbolic computation/Artificial Intelligence. Num Pages: 285 pages, biography. BIC Classification: UYA; UYQ. Category: (G) General (US: Trade); (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 17. Weight in Grams: 597.
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
Hardback
Publication date
1990
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
9780387973432
SKU
V9780387973432
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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