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Introduction to Expert Systems (International Computer Science Series)
 
 

Introduction to Expert Systems (International Computer Science Series) (Hardcover)

by Joel Jackson (Author)
4.0 out of 5 stars See all reviews (1 customer review)

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Product details

  • Hardcover: 526 pages
  • Publisher: Addison Wesley; 2 edition (1 Jan 1990)
  • Language English
  • ISBN-10: 0201175789
  • ISBN-13: 978-0201175783
  • Product Dimensions: 24.8 x 18.4 x 3.2 cm
  • Average Customer Review: 4.0 out of 5 stars See all reviews (1 customer review)
  • Amazon.co.uk Sales Rank: 974,496 in Books (See Bestsellers in Books)
  • See Complete Table of Contents

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Product Description

Product Description
This bestselling guide to expert systems has been comprehensively revised to reflect the many recent developments in the field. Written in a clear and entertaining style, it shows how expert systems can be successfully applied to a wide range of applications.

Features

  • coverage of advanced topics including blackboard systems, non-monotonic reasoning and truth-maintenance system
  • includes programming examples in LISP, OPS5 and other languages, showing how expert systems are developed

 

From the Author
About the forthcoming 3rd Edition of my book ...
In January 1999, Addison-Wesley will publish the 3rd Edition of my expert systems textbook. The 1st Edition, published in 1986, was arguably the first such text written primarily for students, as opposed to targeting researchers or the business world. It covered all the basic concepts of knowledge representation and control of inference that are fundamental to such systems.

The 2nd Edition expanded the purview of the earlier book, by including chapters on blackboard systems, machine learning, and truth maintenance systems. The more advanced material made the book more useful to graduate students, as well as bringing the general reader up to date. Various pedagogical improvements were also effected, e.g., more diagrams and exercises.

The 3rd Edition consolidates the treatment of the previous edition in a number of ways.

> It provides a gentler introduction to some of the key concepts of knowledge representation.

> It is less linear than previous editions, with an emphasis on ideas rather than systems.

> It contains many more programming examples and exercises.

> Almost all examples and exercises are in CLIPS, and there is a new 50-page Appendix on CLIPS programming.

> It includes new chapters on case based reasoning and hybrid systems.

> It describes new systems, such as ODYSSEUS, FRANK, and CATO.

> It describes new concepts, such as the KADS development framework and connectionist approaches.

> It introduces new application areas, such as information retrieval, tutoring systems, and report generation.

I hope that these enhancements will serve to make the book more accessible to the general reader, as well as providing students with an authoritative, up-to-date text. --This text refers to the Hardcover edition.


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Introduction to Expert Systems (International Computer Science Series)
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Introduction to Expert Systems (International Computer Science Series) 4.0 out of 5 stars (1)
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Average Customer Review
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Most Helpful Customer Reviews

 
15 of 15 people found the following review helpful:
4.0 out of 5 stars Readable, detailed and interesting. Great Book!, 20 Jan 2001
By A Customer
I bought this book to help me along in my Knowledge Based Systems(KBS) module. I'm a second year B.Sc. Computing Science Student.

I found Jackson's book great and it really did help me with my KBS module. The notes our lecturer gave us weren't the greatest so in order to gain more information and knowledge on the subject, I bought this book.

It begins by naturally explaining what an Expert System(ES) is, then gives an overview of Artificial Intelligence(AI) before discussing concepts and ideas of ES/KBS such as Knowledge Acquisition, Knowledge Representation, Problem Solving, ES programming languages, Uncertainty, etc.

The information is detailed yet readable and Jackson doesn't become too opaque about it all to the point where you start scratching your head wondering what he's trying to say. It's all kept in a sensible real world tone, so after a while it does all start to make sense.

The book in sprinkled throughout out with CLIPS code and even includes a wonderful, chapter on this subject itself, which was really helpful.

The one negative thing I would say about the book is that it doesn't go into enough detail on Propositional Logic or Predicate Logic. I had to resort to Artificial Intelligence by Rich, Knight for that. Still, no one book is going to tell you everything.

Now, I've used the terms Expert System and Knowledge Based System synonymously but, giving credit to Jackons again, he rightfully says that strickly speaking there is a difference. However, the concepts of Knowledge Acquisition and Knowledge Representation and essentailly the same.

While you should always take reviews with some skepticism, I would recommend this book to anyone studying ES/KBS or the general reader who's interested in the subject. Besides, it comes in a nice hardbound cover and, although it's over 500 pages, it's a lot lighter and more manageable than some of the other books out there dealing with Artificial Intelligence.

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