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Abductive Inference Models for Diagnostic Problem-Solving /

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This book is about reasoning with causal associations during diagnostic problem-solving. It formalizes several currently vague notions of abductive inference in the context of diagnosis. The result is a mathematical model of diagnostic reasoning called parsimonious covering theory. Within this diagn...

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Bibliographic Details
Main Author: Peng, Yun
Corporate Author: SpringerLink (Online service)
Other Authors: Reggia, James A.
Format: eBook
Language:English
Published: New York, NY : Springer New York : Imprint : Springer, 1990.
Series:Symbolic computation. Artificial intelligence.
Subjects:
Computer science.
Artificial intelligence.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Contents: Abduction and Diagnostic Inference
  • Computational Models for Diagnostic Problem Solving
  • Basics of Parsimonious Covering Theory
  • Probabilistic Causal Model
  • Diagnostic Strategies in the Probabilistic Causal Model
  • Causal Chaining
  • Parallel Processing for Diagnostic Problem-Solving
  • Conclusion
  • Bibliography
  • Index.