Artificial Intelligence : A Guide to Intelligent Systems. This item is unavailable.
Language: English
Published by Benjamin-Cummings Publishing Company, 2001
- First Edition
- Hardcover
- Used
Seller: Better World Books Ltd, Dunfermline, United KingdomBetter World Books Ltd
AbeBooks seller since October 13, 2008
Condition: Used - Good
US$ 6.22
Item description from seller
Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Seller Inventory # 338267-6
- Title
- Artificial Intelligence : A Guide to Intelligent Systems
- Author
- Negnevitsky, Michael
- Publisher
- Benjamin-Cummings Publishing Company
- Publication year
- 2001
- Condition
- Good
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0201711591
- ISBN 13
- 9780201711592
- Edition
- 1st.
- Item weight
- 1.651 pounds
- Dimensions
- N/A
"Synopsis" may belong to another edition of this title.
From the Back Cover
Virtually all the literature on artificial intelligence is expressed in the jargon of commuter science, crowded with complex matrix algebra and differential equations. Unlike many other books on computer intelligence, this one demonstrates that most ideas behind intelligent systems are simple and straightforward. The book has evolved from lectures given to students with little knowledge of calculus, and the reader needs no prerequisites associated with knowledge of any programming language. The methods used in the book have been extensively tested through several courses given by the author.
The book provides an introduction to the field of computer intelligence, covering
- rule-based expert systems,
- fuzzy expert systems,
- frame-based expert systems,
- artificail neural networks,
- evolutionary computation,
- hybrid intelligent systems,
- knowledge engineering,
- data mining.
In a university setting the book can be used as an introductory course within computer science, information systems or engineering departments. The book is also suitable as a self-study guide for non-computer science professionals, giving access to the state of the art in knowledge-based systems and computational intelligence. Everyone who faces challenging problems and cannot solve them using traditional approaches can benefit
"About the title" may belong to another edition of this title.