Artificial Intelligence in the 21st Century Edition 3

Hardback
March 2020
9781683922230
More details
  • Publisher
    Mercury Learning & Information
  • ISBN 9781683922230
  • Language English
  • Pages 750 pp.
  • Size 8" x 11"
  • Images 300+ figures & color images
  • Request Exam Copy
$99.95
E-Book
March 2020
9781683922247
More details
  • Publisher
    Mercury Learning & Information
  • ISBN 9781683922247
  • Language English
  • Pages 750 pp.
  • Size 8" x 11"
  • Images 300+ figures & color images
  • Request E-Exam Copy
$49.95
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March 2020
9781683922520
More details
  • Publisher
    Mercury Learning & Information
  • ISBN 9781683922520
  • Language English
  • Pages 750 pp.
  • Size 8" x 11"
  • Images 300+ figures & color images
$179.95

This third 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 deep learning, robotics and machine learning are included. Advanced topics cover neural nets, genetic algorithms, natural language processing, planning, and complex board games. A companion disc is provided with resources, applications, and figures from the book. Numerous instructors’ resources are available upon adoption.

Features:

• Includes new chapters on deep learning and robotics with 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 companion files 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: Intelligent Search Methods.
4: Search Using Games I.
5: Logic in AI.
6: Knowledge Representation.
7: Production Systems.
8. Uncertainty in AI.
9: Expert Systems.
10: Machine Learning I: Decision Trees.
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. Deep Learning.
18. Future of AI.
Appendices.

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.