Abductive Inference Models for Diagnostic Problem-Solving by Yun Peng

Abductive Inference Models for Diagnostic Problem-Solving by Yun Peng

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.

SKU	Unavailable
ISBN 13	9781461264507
ISBN 10	1461264502
Title	Abductive Inference Models for Diagnostic Problem-Solving
Author	Yun Peng
Series	Symbolic Computation
Condition	Unavailable
Binding Type	Paperback
Publisher	Springer-Verlag New York Inc.
Year published	2012-11-20
Number of pages	285
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
Note	Unavailable