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Abductive Inference Models for Diagnostic Problem-Solving

Inbunden, Engelska, 1990

Abductive Inference Models for Diagnostic Problem-Solving

Av Yun Peng, James A. Reggia

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Beskrivning
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.
Produktinformation
  • Utgivningsdatum: 1990-06-26
  • Mått: 155 x 235 x 21 mm
  • Vikt: 565 g
  • Format: Inbunden
  • Språk: Engelska
  • Antal sidor: 285
  • Förlag: Springer-Verlag New York Inc.
  • Serie: Symbolic Computation
  • ISBN: 9780387973432
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