Intelligent Systems for Engineers and Scientists 2d ed - Adrian A. Hopgood.pdf

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Second Edition
Intelligent Systems
Engineers and
Scientists
for
257700190.038.png
Second Edition
Intelligent Systems
Engineers and
Scientists
Adrian A. Hopgood
CRC Press
Boca Raton London New York Washington, D.C.
for
257700190.039.png
Library of Congress Cataloging-in-Publication Data
Hopgood, Adrian A.
Intelligent systems for engineers and scientists / Adrian A.
Hopgood.--2nd ed.
p. cm.
Includes bibliographical references and index.
ISBN 0-8493-0456-3
1. Expert systems (Computer science) 2. Computer-aided engineering.
I. Title.
QA76.76.E95 H675 2000
006.3
02462--dc21
00-010341
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Preface
“Intelligent systems” is a broad term, covering a range of computing
techniques that have emerged from research into artificial intelligence. It
includes symbolic approaches — in which knowledge is explicitly expressed
in words and symbols — and numerical approaches such as neural networks,
genetic algorithms, and fuzzy logic. In fact, many practical intelligent systems
are a hybrid of different approaches. Whether any of these systems is really
capable of displaying intelligent behavior is a moot point. Nevertheless, they
are extremely useful and they have enabled elegant solutions to a wide variety
of difficult problems.
There are plenty of other books available on intelligent systems and
related technologies, but I hope this one is substantially different. It takes a
practical view, showing the issues encountered in the development of applied
systems. I have tried to describe a wide range of intelligent systems
techniques, with the help of realistic problems in engineering and science. The
examples included here have been specifically selected for the details of the
techniques that they illustrate, rather than merely to survey current practice.
The book can be roughly divided into two parts. Chapters 1 to 10 describe
the techniques of intelligent systems, while Chapters 11 to 14 look at four
broad categories of applications. These latter chapters explore in depth the
design and implementation issues of applied systems, together with their
advantages and difficulties. The four application areas have much in common,
as they all concern automated decision making, while making the best use of
the available information.
The first edition of this book was published as Knowledge-Based Systems
for Engineers and Scientists . It was adopted by the Open University for its
course T396: Artificial Intelligence for Technology and, as a result, I have
received a lot of useful feedback. I hope that this new edition addresses the
weaknesses of the previous one, while retaining and building upon its
strengths. As well as updating the entire book, I have added new chapters on
intelligent agents, neural networks, optimization algorithms (especially genetic
algorithms), and hybrid systems. A new title was therefore needed to reflect
the broader scope of this new edition. Intelligent Systems for Engineers and
Scientists seems appropriate, as it embraces both the explicit knowledge-based
models that are retained from the first edition and the implicit numerical
models represented by neural networks and optimization algorithms.
I hope the book will appeal to a wide readership. In particular, I hope that
students will be drawn toward this fascinating area from all scientific and
engineering subjects, not just from the computer sciences. Beyond academia,
the book will appeal to engineers and scientists who either are building
intelligent systems or simply want to know more about them.
The first edition was mostly written while I was working at the Telstra
Research Laboratories in Victoria, Australia, and subsequently finished upon
my return to the Open University in the UK. I am still at the Open University,
where this second edition was written.
Many people have helped me, and I am grateful to them all. The following
all helped either directly or indirectly with the first edition (in alphabetical
order): Mike Brayshaw, David Carpenter, Nicholas Hallam, David Hopgood,
Sue Hopgood, Adam Kowalzyk, Sean Ogden, Phil Picton, Chris Price, Peter
Richardson, Philip Sargent, Navin Sullivan, Neil Woodcock, and John Zucker.
I am also indebted to those who have helped in any way with this new
edition. I am particularly grateful to Tony Hirst for his detailed suggestions for
inclusion and for his thoughtful comments on the drafts. I also extend my
thanks to Lars Nolle for his helpful comments and for supplying Figures 7.1,
7.7, and 8.18; to Jon Hall for his comments on Chapter 5; to Sara Parkin and
Carole Gustafson for their careful proofreading; and to Dawn Mesa for making
the publication arrangements. Finally, I am indebted to Sue and Emily for
letting me get on with it. Normal family life can now resume.
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