Abductive Inference Models for Diagnostic Problem-Solving

Abductive Inference Models for Diagnostic Problem-Solving

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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.It is also unclear exactly how diagnosticians decide to terminate the diagnostic process because a aquot;solutionaquot; has been reached. ... problem formulation and knowledge representation, operations for hypothesis formation and updating, and various problem-solving algorithms. ... Chapter 7 addresses another issue: instead of deriving problem solutions using traditional algorithmic methods, a parallelanbsp;...


Title:Abductive Inference Models for Diagnostic Problem-Solving
Author: Yun Peng, James A. Reggia
Publisher:Springer Science & Business Media - 2012-12-06
ISBN-13:

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