Artificial Intelligence 3ed

A Guide to Intelligent Systems

By: Michael Negnevitsky

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Paperback | 19 May 2011 | Edition Number 3

At a Glance

Paperback
504 Pages

Edition Type
Revised

Dimensions(cm)
15.6 x 23.3 x 2.6

Paperback

$230.75

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Artificial Intelligence is one of the most rapidly evolving subjects within the computing/engineering curriculum, with an emphasis on creating practical applications from hybrid techniques. Despite this, the traditional textbooks continue to expect mathematical and programming expertise beyond the scope of current undergraduates and focus on areas not relevant to many of today''s courses. Negnevitsky shows students how to build intelligent systems drawing on techniques from knowledge-based systems, neural networks, fuzzy systems, evolutionary computation and now also data mining.

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 will be described and program examples will be given in MATLAB. 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.

The book covers:

Rule-based expert systems
Fuzzy expert systems
Frame-based expert systems
Artificial neural networks
Evolutionary computation
Hybrid intelligent systems
Knowledge engineering
Data mining

Industry 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

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