Artificial Intelligence

A Guide to Intelligent Systems

Michael Negnevitsky (Autor)

Buch | Softcover

504 Seiten

2011 | 3rd edition
Addison Wesley (Verlag)
978-1-4082-2574-5 (ISBN)

Infos

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.

Autor

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.

Inhalt

 

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<

Produkt-Details

• Erscheint lt. Verlag: 26.5.2011
• Verlagsort: Harlow
• Sprache: englisch
• Maße: 159 x 221 mm
• Gewicht: 744 g
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• ISBN-10: 1-4082-2574-3 / 1408225743
• ISBN-13: 978-1-4082-2574-5 / 9781408225745
• Zustand: Neuware