
Artificial Intelligence
A Guide to Intelligent Systems
Michael Negnevitsky(Author)
Addison Wesley (Publisher)
3rd Edition
Published on 26. May 2011
Book
Paperback/Softback
504 pages
978-1-4082-2574-5 (ISBN)
Shipment within 3-4 weeks
Description
Negnevitsky shows students how to build intelligent systems drawing on techniques from knowledge-based systems, neural networks, fuzzy systems, evolutionary computation and now also intelligent agents. The principles behind these techniques are explained without resorting to complex mathematics, showing how the various techniques are implemented, when they are useful and when they are not. No particular programming language is assumed and the book does not tie itself to any of the software tools available. However, available tools and their uses are described, and program examples are given in Java.
The lack of assumed prior knowledge makes this book ideal for any introductory courses in artificial intelligence or intelligent systems design, while the contemporary coverage means more advanced students will benefit by discovering the latest state-of-the-art techniques, particularly in intelligent agents and knowledge discovery.
The lack of assumed prior knowledge makes this book ideal for any introductory courses in artificial intelligence or intelligent systems design, while the contemporary coverage means more advanced students will benefit by discovering the latest state-of-the-art techniques, particularly in intelligent agents and knowledge discovery.
Reviews / Votes
"This book covers many areas related to my module. I would be happy to recommend this book to my students. I believe my students would be able to follow this book without any difficulty. Book chapters are very well organised and this will help me to pick and choose the subjects related to this module." Dr Ahmad Lotfi, Nottingham Trent University, UKMore details
Edition
3rd edition
Language
English
Place of publication
Harlow
United Kingdom
Publishing group
Pearson Education Limited
Target group
College/higher education
Dimensions
Height: 221 mm
Width: 159 mm
Thickness: 25 mm
Weight
744 gr
ISBN-13
978-1-4082-2574-5 (9781408225745)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions

Michael Negnevitsky
Artificial Intelligence: A Guide to Intelligent Systems
Book
09/2024
4th Edition
Pearson Education Limited
€84.99
Shipment within 10-20 days
Additional editions

E-Book
11/2011
3rd Edition
Pearson Higher Education
€59.49
Available for download
Previous edition

Book
09/2004
2nd Edition
Addison Wesley
€165.96
Article exhausted; check for reprint
Person
Dr Michael Negnevitsky is a Professor in Electrical Engineering and Computer Science at the University of Tasmania, Australia. The book has developed from his lectures to undergraduates. Educated as an electrical engineer, Dr Negnevitsky's many interests include artificial intelligence and soft computing. His research involves the development and application of intelligent systems in electrical engineering, process control and environmental engineering. He has authored and co-authored over 300 research publications including numerous journal articles, four patents for inventions and two books.
Content
Contents
Preface xii
New to this edition xiii
Overview of the book xiv
Acknowledgements xvii
1 Introduction to knowledge-based intelligent systems 1
1.1 Intelligent machines, or what machines can do 1
1.2 The history of artificial intelligence, or from the 'Dark Ages'
to knowledge-based systems 4
1.3 Summary 17
Questions for review 21<