Artificial Intelligence - A Guide to Intelligent Systems (Paperback, 3rd edition)

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.

General

Imprint:	Addison Wesley
Country of origin:	United Kingdom
Release date:	May 2011
First published:	2011
Authors:	Michael Negnevitsky
Dimensions:	234 x 156 x 28mm (L x W x T)
Format:	Paperback
Pages:	479
Edition:	3rd edition
ISBN-13:	978-1-4082-2574-5
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Knowledge-based systems / expert systems Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
LSN:	1-4082-2574-3
Barcode:	9781408225745

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