Artificial intelligence a guide to intelligent systems

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, sho...

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Bibliographic Details
Main Author: Negnevitsky, Michael (Author)
Format: Book
Language:English
Published: Harlow, England New York, NY Addison-Wesley 2011
Edition:Third edition
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Call Number :QA 76.76.E95 N44 2011

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100 1 |a Negnevitsky, Michael  |e author 
245 1 0 |a Artificial intelligence  |b a guide to intelligent systems  |c Michael Negnevitsky 
250 |a Third edition 
264 1 |a Harlow, England  |a New York, NY  |b Addison-Wesley  |c 2011 
264 4 |c © 2011 
300 |a xiv, 394 pages  |b illustrations  |c 24 cm 
336 |a text  |2 rdacontent 
337 |a unmediated  |2 rdamedia 
338 |a volume  |2 rdacarrier 
504 |a Includes bibliographical references and index 
520 |a 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 
592 |a 36229  |b 27/2/2019  |c RM 296.40  |h Bookline 
650 0 |a Expert systems (Computer science) 
650 0 |a Artificial intelligence 
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