

Hardcover: 896 pages
Publisher: Morgan Kaufmann; 1st edition (June 15, 1995)
Language: English
ISBN-10: 155860166X
ISBN-13: 978-1558601666
Product Dimensions: 9.6 x 7.7 x 1.8 inches
Shipping Weight: 3.7 pounds
Average Customer Review: 4.2 out of 5 stars See all reviews (4 customer reviews)
Best Sellers Rank: #1,351,748 in Books (See Top 100 in Books) #108 in Books > Computers & Technology > Computer Science > AI & Machine Learning > Expert Systems #434 in Books > Textbooks > Computer Science > Artificial Intelligence #871 in Books > Computers & Technology > Computer Science > AI & Machine Learning > Intelligence & Semantics

A bit dated. Got it for Knowledge Based AI class at Georgia Tech. If you're taking the class, you can skip buying this book. Often with class texts, the required reading material is a small portion of the book, but I then find the remainder interesting enough to read on its own. Not the case with this book. After reading the recommended sections I skimmed the rest and found it uninteresting.Information is circa 1995, which is an eternity away in AI technology. Reminded me of expert systems.
This book is very helpful in learning about the concept of knowledge-based systems. I must caution though, that if you are familiar with artificial intelligence there is a lot of material in this book that will act as a review.When purchasing this book, I was hoping for material on developing a knowledge-based system from scratch. While it does an outstanding job in teaching you the fundamentals (clear through diagnosis and troubleshooting), it seemed to leave me slightly incomplete and in search for additional material on the subject.It's not a all-in-one book, but this is book is definitely one to consider.
The author gives an exceptional and in-depth view of the topics of search, reasoning with time, space and uncertainty and also on classification. It should make a good text at the graduate-level. The book also gives excellent exercises and open- research problems. A true classic in this area. A must on the desk of every AI practitioner
The book covers many aspects of knowledge based systems including knowledge representation, problem solving by search,the marriage between knowledge and software engineering(which is a rising issue at present), temporal and spatial reasoning, uncertainy modeling and many others. The book ends with a chapter on troubleshooting, which attracts many practitioners.The book is rich with good contents. Many examples and illustrations are used to introduce the concepts. I liked chapter 6 very much for its beautiful presentation on probabilistic networks.Chapter 4 and 5 on Reasoning about time and Reasoning about space respectively are also interesting. Readers of different background will find the book extremely useful for its beautiful writing style.
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