Artificial Intelligence: A Guide to Intelligent Systems

Author:   Michael Negnevitsky
Publisher:   Pearson Education Limited
Edition:   3rd edition
ISBN:  

9781408225745


Pages:   504
Publication Date:   26 May 2011
Replaced By:   9781292730851
Format:   Paperback
Availability:   Available To Order   Availability explained
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Artificial Intelligence: A Guide to Intelligent Systems


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Overview

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.

Full Product Details

Author:   Michael Negnevitsky
Publisher:   Pearson Education Limited
Imprint:   Addison Wesley
Edition:   3rd edition
Dimensions:   Width: 15.90cm , Height: 2.50cm , Length: 22.10cm
Weight:   0.744kg
ISBN:  

9781408225745


ISBN 10:   1408225743
Pages:   504
Publication Date:   26 May 2011
Audience:   College/higher education ,  Tertiary & Higher Education
Replaced By:   9781292730851
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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Reviews

“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, UK


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, UK


 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, UK


Author Information

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.

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