Artificial intelligence : a guide to intelligent systems / Michael Negnevitsky

By:

Negnevitsky, Michael

Material type: Text

TextPublication details: Harlow, England ; New York : Addison Wesley/Pearson, 2011Edition: 3rd edDescription: xx, 479 p. : ill. ; 24 cmISBN:

9781408225745
1408225743 (pbk.)

Subject(s):

DDC classification:

23 006.3 Ne Ar

Summary: 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.

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Holdings
Item type	Current library	Collection	Call number	Status	Notes	Date due	Barcode
Books	Bahrain ITC-ARI	Computer Studies	006.3 Ne Ar (Browse shelf(Opens below))	Available	Dr. Md Asdaque		3000000174

Includes bibliographical references and index

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 online book link:

https://www.amazon.com/Artificial-Intelligence-Guide-Intelligent-Systems/dp/1408225743/ref=sr_1_1?dchild=1&keywords=9781408225745&qid=1613298810&s=books&sr=1-1

Dr. Md Asdaque

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