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Managing Uncertainty in Expert Systems (Hardcover, 1991 ed.)
Loot Price: R3,107
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Managing Uncertainty in Expert Systems (Hardcover, 1991 ed.)
Series: The Springer International Series in Engineering and Computer Science, 143
Expected to ship within 10 - 15 working days
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3. Textbook for a course in expert systems, if an emphasis is
placed on Chapters 1 to 3 and on a selection of material from
Chapters 4 to 7. There is also the option of using an additional
commercially available sheU for a programming project. In assigning
a programming project, the instructor may use any part of a great
variety of books covering many subjects, such as car repair.
Instructions for mostofthe "weekend mechanic" books are close
stylisticaUy to expert system rules. Contents Chapter 1 gives an
introduction to the subject matter; it briefly presents basic
concepts, history, and some perspectives ofexpert systems. Then
itpresents the architecture of an expert system and explains the
stages of building an expert system. The concept of uncertainty in
expert systems and the necessity of deal ing with the phenomenon
are then presented. The chapter ends with the descrip tion of
taxonomy ofexpert systems. Chapter 2 focuses on knowledge
representation. Four basic ways to repre sent knowledge in expert
systems are presented: first-order logic, production sys tems,
semantic nets, and frames. Chapter 3 contains material about
knowledge acquisition. Among machine learning techniques, a
methodofrule learning from examples is explained in de tail. Then
problems ofrule-base verification are discussed. In particular,
both consistency and completeness oftherule base are presented."
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