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This book is about reasoning with causal associations during diagnostic problem-solving. The authors develop a mathematical model called parsimonious covering theory and link it with probability theory.
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Abductive Inference Models for Diagnostic Problem-Solving (eng)
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Abductive Inference Models for Diagnostic Problem-Solving
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Springer New York Nov 2012, 2012
ISBN 10: 1461264502
ISBN 13: 9781461264507
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 300 pp. Englisch. Seller Inventory # 9781461264507
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Abductive Inference Models for Diagnostic Problem-Solving (Artificial Intelligence)
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Abductive Inference Models for Diagnostic Problem-Solving
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 nov. Seller Inventory # 4189103
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Abductive Inference Models for Diagnostic Problem-Solving (Symbolic Computation / Artificial Intelligence)
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Abductive Inference Models for Diagnostic Problem-Solving
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Springer, Springer Nov 2012, 2012
ISBN 10: 1461264502
ISBN 13: 9781461264507
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is about reasoning with causal associations during diagnostic problem-solving. The authors develop a mathematical model called parsimonious covering theory and link it with probability theory.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 300 pp. Englisch. Seller Inventory # 9781461264507
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Abductive Inference Models for Diagnostic Problem-Solving
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9781461264507
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Abductive Inference Models for Diagnostic Problem-Solving (Symbolic Computation)
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