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

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Product Description
In May 1997, IBM's Deeper Blue defeated the world chess champion Gary Kasparov, showing that an artificial intelligence system can outplay even the most skilled of human experts. Since the first expert systems appeared in the late sixties, we have seen three decades of research and development engineer human knowledge to more practical ends, in a pioneering effort that has integrated diverse areas of cognitive and computer science. Today, expert systems exist in many forms, from medical diagnosis to investment analysis and from counseling to production control.

This third edition of Peter Jackson's best-selling book updates the technological base of expert systems research and embeds those developments in a wide variety of application areas. The earlier chapters have been refocused to take a more practical approach to the basic topics, while the later chapters introduce new topic areas such as case-based reasoning, connectionist systems and hybrid systems. Results in related areas, such as machine learning and reasoning with uncertainty, are also accorded a thorough treatment.

The new edition contains many new examples and exercises, most of which are in CLIPS, a language that combines production rules with object-oriented programming. LISP, PROLOG and C++ are also featured where appropriate. Interesting problems are posed throughout, and are solved in exercises involving the analysis, design and implementation of CLIPS programs.

This book will prove useful to a wide readership including general readers, students and teachers, software engineers and researchers. Its modular structure enables readers to follow a pathway most suited to their needs, providing them with an up-to-date account of expert systems technology.

Peter Jackson is Director of Research at West Group, a division of The Thomson Corporation and the leading provider of information to the US legal market. Peter drives the application of natural language and information retrieval technologies to the information needs of law and business. Previous appointments include Principal Scientist at the McDonnell Douglas Research Laboratories in Saint Louis, Missouri, and Lecturer in the Department of Artificial Intelligence at the University of Edinburgh, Scotland.
--This text refers to the Hardcover edition.

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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1 Review 5 star:    (0) 4 star:  (1) 3 star:    (0) 2 star:    (0) 1 star:    (0)           Average Customer Review 4.0 out of 5 stars (1 customer review)		Share your thoughts with other customers: Create your own review
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 This review is from: Introduction to Expert Systems (International Computer Science Series) (Hardcover) 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. Comment Comment | Permalink | Was this review helpful to you? Yes No (Report this) Share your thoughts with other customers: Create your own review › See all customer reviews...		Search Customer Reviews Only search this product's reviews

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