Artificial Intelligence: A Guide to Intelligent Systems (3rd Edition)

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9781408225745: Artificial Intelligence: A Guide to Intelligent Systems (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.

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From the Back Cover:

Artificial Intelligence is often perceived as being a highly complicated, even frightening, subject in Computer Science. This view is compounded by books in this area being crowded with complex matrix algebra and differential equations – until now. This book, evolving from lectures given to students with little knowledge of calculus, assumes no prior programming experience and demonstrates that most of the underlying ideas in intelligent systems are, in reality, simple and straightforward.  The main attraction of the author's approach is in his deliberate de-emphasising of the maths – just enough to give a valid treatment of the subject. This is what makes the underlying ideas in AI so much easier to understand. No wonder that this book has already been adopted by more than 250 universities around the world and translated into many languages.

Are you looking for a genuinely lucid, introductory text for a course in AI or Intelligent Systems Design? Perhaps you’re a non-computer science professional looking for a self-study guide to the state-of-the art in knowledge-based systems? Either way, you can’t afford to ignore this book.

Covers:

  • Rule-based expert systems
  • Fuzzy expert systems
  • Frame-based expert systems
  • Artificial neural networks
  • Evolutionary computation
  • Hybrid intelligent systems
  • Knowledge engineering
  • Data mining

New to this edition:

  • New chapter on data mining and knowledge discovery
  • New section on clustering with a self-organising neural network
  • Four new case studies
  • Completely updated to incorporate the latest developments in this fast-paced field.

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.

 

About the Author:

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.

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Negnevitsky, Michael
Editorial: Newmarket, ON, Canada: Pearson Education Canada (2011)
ISBN 10: 1408225743 ISBN 13: 9781408225745
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Descripción Newmarket, ON, Canada: Pearson Education Canada, 2011. Soft cover. Estado de conservación: New. Estado de la sobrecubierta: New. International Edition. Low price guarantee! The book is the brand new international edition textbook with the different ISBN and cover design. The book main content black/white printed in full English as same as the corresponding original US edition. Fast shipments will sent out by DHL/UPS or standard post mail with tracking numbers in one to two working days after the orders confirmed. Nº de ref. de la librería ABE-9529843091

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Negnevitsky, Michael
Editorial: Newmarket, ON, Canada: Pearson Education Canada (2011)
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Descripción Newmarket, ON, Canada: Pearson Education Canada, 2011. Soft cover. Estado de conservación: New. Estado de la sobrecubierta: New. International Edition. **INTERNATIONAL EDITION** Read carefully before purchase: This book is the international edition in mint condition with the different ISBN and book cover design, the major content is printed in full English as same as the original North American edition. The book printed in black and white, generally send in twenty-four hours after the order confirmed. All shipments go through via USPS/UPS/DHL with tracking numbers. Great professional textbook selling experience and expedite shipping service. Nº de ref. de la librería ABE-9529843093

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Negnevitsky, Michael
Editorial: Newmarket, ON, Canada: Pearson Education Canada (2011)
ISBN 10: 1408225743 ISBN 13: 9781408225745
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Descripción Newmarket, ON, Canada: Pearson Education Canada, 2011. Soft cover. Estado de conservación: New. Ship out 1-2 business day,Brand new,US edition, Free tracking number usually 2-4 biz days delivery to worldwide Same shipping fee with US, Canada,Europe country, Australia, item will ship out from either LA or Asia,c. Nº de ref. de la librería ABE-6214405019

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Michael Negnevitsky
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Descripción Pearson Education Limited, United Kingdom, 2017. Paperback. Estado de conservación: New. 3rd edition. Language: English . Brand New Book. 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. Nº de ref. de la librería AAK9781408225745

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Michael Negnevitsky
Editorial: Pearson Education Limited, United Kingdom (2017)
ISBN 10: 1408225743 ISBN 13: 9781408225745
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Descripción Pearson Education Limited, United Kingdom, 2017. Paperback. Estado de conservación: New. 3rd edition. Language: English . Brand New Book. 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. Nº de ref. de la librería AAK9781408225745

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Descripción Addison Wesley. Paperback. Estado de conservación: New. New copy - Usually dispatched within 2 working days. Nº de ref. de la librería B9781408225745

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Negnevitsky, Michael
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ISBN 10: 1408225743 ISBN 13: 9781408225745
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Descripción Pearson Education Canada, 2011. Softcover. Estado de conservación: New. ***International Edition***Soft cover/Paperback*** Textbook printed in English. ***Brand New***. Most international edition has different ISBN and Cover design. Some book may show sales disclaimer such as "Not for Sale or Restricted in US" on the cover page but it is absolutely legal to use. All textbook arrives within 5-7business days. Please provides valid phone number with your order for easy delivery. Nº de ref. de la librería 9781408225745

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Descripción Pearson Education Canada, 2011. Estado de conservación: New. 2011. 3rd Edition. Paperback. Num Pages: 504 pages, Illustrations. BIC Classification: UYQ; UYQE; UYQN. Category: (U) Tertiary Education (US: College). Dimension: 156 x 233 x 26. Weight in Grams: 748. . . . . . . Nº de ref. de la librería V9781408225745

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Descripción Pearson Education 2011-05-19, Harlow, 2011. paperback. Estado de conservación: New. Nº de ref. de la librería 9781408225745

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Michael Negnevitsky
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Descripción Pearson Education, 2011. PAP. Estado de conservación: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Nº de ref. de la librería BB-9781408225745

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