Artificial Intelligence in the 21st Century Edition 2

Hardback
December 2015
9781942270003
More details
  • Publisher
    Mercury Learning & Information
  • Published
    8th December 2015
  • ISBN 9781942270003
  • Language English
  • Pages 615 pp.
  • Size 8" x 10"
  • Images 300+ color figures & images
  • Request Exam Copy
$99.95
E-Book
December 2015
9781944534530
More details
  • Publisher
    Mercury Learning & Information
  • Published
    10th December 2015
  • ISBN 9781944534530
  • Language English
  • Pages 615 pp.
  • Size 8" x 10"
  • Images 300+ color figures & images
  • Request E-Exam Copy
$49.95
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as well as through the following wholesalers: The Yankee Book Peddler subsidiary of Baker & Taylor, Inc.

December 2015
9781683922537
More details
  • Publisher
    Mercury Learning & Information
  • Published
    8th December 2015
  • ISBN 9781683922537
  • Language English
  • Pages 615 pp.
  • Size 8" x 10"
  • Images 300+ color figures & images
$179.95

This new edition provides a comprehensive, colorful, up-to-date, and accessible presentation of AI without sacrificing theoretical foundations. It includes numerous examples, applications, full color images, and human interest boxes to enhance student interest. New chapters on robotics and machine learning are now included. Advanced topics cover neural nets, genetic algorithms, natural language processing, planning, and complex board games. A companion DVD is provided with resources, applications, and figures from the book. Numerous instructors’ resources are available upon adoption.

eBook Customers: Companion files are available for downloading with order number/proof of purchase by writing to the publisher at info@merclearning.com.

FEATURES:

• Includes new chapters on robotics and machine learning and new sections on speech understanding and metaphor in NLP

• Provides a comprehensive, colorful, up to date, and accessible presentation of AI without sacrificing theoretical foundations

• Uses numerous examples, applications, full color images, and human interest boxes to enhance student interest

• Introduces important AI concepts e.g., robotics, use in video games, neural nets, machine learning, and more thorough practical applications

• Features over 300 figures and color images with worked problems detailing AI methods and solutions to selected exercises

• Includes DVD with resources, simulations, and figures from the book

• Provides numerous instructors’ resources, including: solutions to exercises, Microsoft PP slides, etc.

1) Overview of AI.
2) Uninformed Search.
3) Informed Search.
4) Search Using Games.
5) Logic in Artificial Intelligence.
6) Knowledge Representation.
7) Production Systems.
8) Uncertainty in AI.
9) Expert Systems.
10) Machine Learning I: Inductive Learning.
11) Machine Learning 2: Neural Networks.
12) Search Inspired by Mother Nature.
13) Natural Language Processing.
14) Automated Planning.
15) Robotics.
16) Advanced Computer Games.
17) Reprise.
Appendices.
Index.

Stephen Lucci

Stephen Lucci holds a Ph.D. from the CUNY Graduate School and currently teaches computer science at The City College of New York. Dr. Lucci has published in the areas of high performance computing and has been co-PI on education grants from NASA MU-SPIN.

Danny Kopec

Danny Kopec taught at Brooklyn College and the CUNY Graduate Center. He authored several books, conference and journal articles, and was an International Chess Master.