Michael Negnevitsky

Artificial Intelligence (eBook, PDF)

A Guide to Intelligent Systems

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Pearson HigherEducation
• Seitenzahl: 504
• Altersempfehlung: ab 18 Jahre
• Erscheinungstermin: 9. November 2011
• Englisch
• ISBN-13: 9781408225752
• Artikelnr.: 39451820

Autorenporträt

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.

Inhaltsangabe

 
Contents
 
 
Preface                                                                           
        xii
New to this
edition                                                                    
       xiii
Overview of the book                                                   
       xiv
Acknowledgements                                                                   
      xvii
 
1        Introduction to knowledge-based intelligent
systems                                1
 
1.1     Intelligent machines, or what machines can do                 
          1
1.2     The history of artificial intelligence, or from the Dark Ages
          to knowledge-based
systems                                                       4
1.3    
Summary                                                                
        17
          Questions for
review                                                                   21