Abductive Inference Models for Diagnostic Problem-Solving

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Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
143,97 
Įprasta kaina: 169,38 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
2025-02-28 169.3800 InStock
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Knygos aprašymas

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.

Informacija

Autorius: James A. Reggia, Yun Peng,
Serija: Artificial Intelligence
Leidėjas: Springer US
Išleidimo metai: 1990
Knygos puslapių skaičius: 300
ISBN-10: 0387973435
ISBN-13: 9780387973432
Formatas: 241 x 160 x 21 mm. Knyga kietu viršeliu
Kalba: Anglų

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