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Automating Knowledge Acquisition for Expert Systems (Paperback, Softcover reprint of the original 1st ed. 1988)
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Automating Knowledge Acquisition for Expert Systems (Paperback, Softcover reprint of the original 1st ed. 1988)
Series: The Springer International Series in Engineering and Computer Science, 57
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In June of 1983, our expert systems research group at Carnegie
Mellon University began to work actively on automating knowledge
acquisition for expert systems. In the last five years, we have
developed several tools under the pressure and influence of
building expert systems for business and industry. These tools
include the five described in chapters 2 through 6 - MORE, MOLE,
SALT, KNACK and SIZZLE. One experiment, conducted jointly by
developers at Digital Equipment Corporation, the Soar research
group at Carnegie Mellon, and members of our group, explored
automation of knowledge acquisition and code development for XCON
(also known as R1), a production-level expert system for
configuring DEC computer systems. This work influenced the
development of RIME, a programming methodology developed at Digital
which is the subject of chapter 7. This book describes the
principles that guided our work, looks in detail at the design and
operation of each tool or methodology, and reports some lessons
learned from the enterprise. of the work, brought out in the
introductory chapter, is A common theme that much power can be
gained by understanding the roles that domain knowledge plays in
problem solving. Each tool can exploit such an understanding
because it focuses on a well defined problem-solving method used by
the expert systems it builds. Each tool chapter describes the basic
problem-solving method assumed by the tool and the leverage
provided by committing to the method."
General
Imprint: |
Springer-Verlag New York
|
Country of origin: |
United States |
Series: |
The Springer International Series in Engineering and Computer Science, 57 |
Release date: |
April 2012 |
First published: |
1988 |
Editors: |
Sandra Marcus
|
Dimensions: |
235 x 155 x 15mm (L x W x T) |
Format: |
Paperback
|
Pages: |
288 |
Edition: |
Softcover reprint of the original 1st ed. 1988 |
ISBN-13: |
978-1-4684-7124-3 |
Categories: |
Books >
Computing & IT >
Applications of computing >
Artificial intelligence >
General
Promotions
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LSN: |
1-4684-7124-4 |
Barcode: |
9781468471243 |
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