Artificial Intelligence

A Guide to Intelligent Systems

Häftad, Engelska, 2011

1 104 kr

Slutsåld

Beskrivning

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.

Produktinformation

Utgivningsdatum:2011-05-26
Mått:155 x 230 x 22 mm
Vikt:740 g
Format:Häftad
Språk:Engelska
Antal sidor:504
Upplaga:3
Förlag:Pearson Education
ISBN:9781408225745

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Artificiell intelligens inom Data och IT

Mer om författaren

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.

Recensioner i media

“This book covers many areas related to my module. I would be happy to recommend this book to my students. I believe my students would be able to follow this book without any difficulty. Book chapters are very well organised and this will help me to pick and choose the subjects related to this module.” Dr Ahmad Lotfi, Nottingham Trent University, UK

Innehållsförteckning

Contents Preface xiiNew to this edition xiiiOverview of the book xivAcknowledgements xvii 1 Introduction to knowledge-based intelligent systems 1 1.1 Intelligent machines, or what machines can do 11.2 The history of artificial intelligence, or from the ‘Dark Ages’to knowledge-based systems 41.3 Summary 17Questions for review 21<