Abductive Inference Models for Diagnostic Problem-Solving / Symbolic Computation (PDF)
(Sprache: Englisch)
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...
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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.
Bibliographische Angaben
- Autoren: Yun Peng , James A. Reggia
- 2012, 1990, 285 Seiten, Englisch
- Verlag: Springer, New York
- ISBN-10: 1441986820
- ISBN-13: 9781441986825
- Erscheinungsdatum: 06.12.2012
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- Größe: 27 MB
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