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Artificial Intelligence

by Poole (Author) Format: Hardcover
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The second edition of artificial intelligence provides a comprehensible and thorough guide for Junior to senior undergraduates and graduate students. Updates include a major expansion on machine learning, inclusion of more intuitive explanations and exercises, and Simplification of parts that were considered difficult in the first edition.
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  1. ISBN-10
    9781107195394
  2. ISBN-13
    978-1107195394
  3. Edition
    2nd
  4. Publisher
    Cambridge English
  5. Publication date
    1 January 2017
  6. Language
    English
  7. Dimensions
    18.42 x 2.54 x 26.04 cm
  8. Print length
    820 pages
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Product description

Review

'This new edition of the already classic Introduction to Artificial Intelligence by Poole and Mackworth provides a broad coverage of the symbolic and non-symbolic approaches underpinning the main current and future approaches to AI. It combines an accessible treatment of the underlying theory with practical examples that bring the theory to life. It is essential reading for anyone who wants to understand the current state of the art, and to be prepared for the future.' Robert Kowalski, Imperial College London

'Poole and Mackworth provide a crystal clear introduction to artificial intelligence. Their book paints a complete picture of the field, from the logical foundations to the latest breakthroughs in learning, representation, reasoning, and multi-agent systems. The authors view AI as the integration of a diverse set of technologies. Layer by layer, they introduce all the techniques required to build an intelligent agent. The book stands out as being both comprehensive and uncompromising, limiting the material to the most promising and intellectually gratifying topics.' Guy Van den Broeck, University of California, Los Angeles

Book Description

Artificial Intelligence presents a practical guide to AI, including agents, machine learning and problem-solving simple and complex domains.

About the Author

David L. Poole is a Professor of Computer Science at the University of British Columbia. He is a co-author of three artificial intelligence books including Statistical Relational Artificial Intelligence: Logic, Probability, and Computation (2016). He is a former Chair of the Association for Uncertainty in Artificial Intelligence, the winner of the Canadian AI Association (CAIAC) 2013 Lifetime Achievement Award, and a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) and CAIAC.

Alan K. Mackworth is a Professor of Computer Science at the University of British Columbia. He has authored over 130 papers and co-authored two books: Computational Intelligence: A Logical Approach (1997) and Artificial Intelligence: Foundations of Computational Agents (2010). His awards include the Artificial Intelligence Journal (AIJ) Classic Paper Award and the Association of Constraint Programming (ACP) Award for Research Excellence. He has served as President of the International Joint Conference on Artificial Intelligence (IJCAI), the Association for the Advancement of Artificial Intelligence (AAAI) and the Canadian AI Association (CAIAC). He is a Fellow of AAAI, CAIAC and the Royal Society of Canada.

Product details

  • ASIN ‏ : ‎ 110719539X
  • Publisher ‏ : ‎ Cambridge English
  • Publication date ‏ : ‎ 1 January 2017
  • Edition ‏ : ‎ 2nd
  • Language ‏ : ‎ English
  • Print length ‏ : ‎ 820 pages
  • ISBN-10 ‏ : ‎ 9781107195394
  • ISBN-13 ‏ : ‎ 978-1107195394
  • Item Weight ‏ : ‎ 1 kg 820 g
  • Dimensions ‏ : ‎ 18.42 x 2.54 x 26.04 cm
  • Best Sellers Rank: #170,926 in Books (See Top 100 in Books)
  • Customer Reviews:

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Customer reviews

4.3 out of 5 stars
34 global ratings
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  • Steve Elston
    5 out of 5 stars
    Good overview of the basics of AI
    Reviewed in the United States on 1 January 2020
    Format: Hardcover
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    I have not read this book cover to cover, but have finished most of it.

    This book is really well written and edited. The prose is clear and concise for the most part. There are very few distracting errors. Further, the new edition has some significant updates in this fast-moving field.

    The authors have achieved their goal or providing a broad and easily digestible overview of the key topics of AI. The depth is significantly less that the encyclopedic Russel and Stuart book. This has the advantage of text that follows well and gives the reader a background in the key concepts without trying to digest all the detail at the same time.

    If you want more depth, you might want to read this book first and they take on Russel and Stuart. Assuming the new, 4th, edition of Russel and Stuart ever arrives..............

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  • Felix der Einkäufer
    5 out of 5 stars
    Spannend, ausführlich, sehr schön aufgebaut
    Reviewed in Germany on 14 January 2019
    Format: Hardcover
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    Es liest sich gut, baut die Themenfelder nacheinander schön auf und hilft dem Interessierten Studenten die nicht ganz so gut strukturierte Vorlesung zu unterstützen. Fesselnd geschrieben in anbetracht dessen, dass es sich um fachliteratur handelt.

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  • Katie Berry
    3 out of 5 stars
    Tedious infodump with no context
    Reviewed in the United States on 21 April 2023
    Format: Hardcover
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    This book is one long slog of information thrown at the reader with zero context or insight into how tactical use. It essentially reading one definition after another, made all the more disjointed by the authors decision to highlight each keyword, and yet there are no exercises or questions inviting the reader to put the information to use. This results in 0 practical learning.

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  • Jeason15
    1 out of 5 stars
    If your professor uses this book, drop the course...
    Reviewed in the United States on 10 March 2020
    Format: Hardcover
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    Book is trash. Required for a class, class was trash too.

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