Artificial Intelligence Basics

A Self-Teaching Introduction

Paperback
March 2020
9781683925163
More details
  • Publisher
    Mercury Learning & Information
  • Published
    4th March
  • ISBN 9781683925163
  • Language English
  • Pages 203 pp.
  • Size 7" x 9"
$41.95
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February 2020
9781683925149
More details
  • Publisher
    Mercury Learning & Information
  • Published
    18th February
  • ISBN 9781683925149
  • Language English
  • Pages 203 pp.
  • Size 7" x 9"
$129.95
E-Book (ePub)
February 2020
9781683925156
More details
  • Publisher
    Mercury Learning & Information
  • Published
    18th February
  • ISBN 9781683925156
  • Language English
  • Pages 203 pp.
  • Size 7" x 9"
$34.95

Designed as a self-teaching introduction to the fundamental concepts of artificial intelligence, the book begins with its history, the Turing test, and early applications. Later chapters cover the basics of searching, game playing, and knowledge representation. Expert systems and machine learning are covered in detail, followed by separate programming chapters on Prolog and Python. The concluding chapter on artificial intelligence machines and robotics is comprehensive with numerous modern applications.

Features:

  • Covers an introduction to concepts related to AI, including searching processes, knowledge representation, machine learning, expert systems, programming, and robotics
  • Includes separate chapters on Prolog and Python to introduce basic programming techniques in AI

"Artificial Intelligence Basics: A Self-Teaching Introduction covers the basics of AI with a review of its history and basic concepts, as well as early technology surrounding it. Chapters move to the fundamentals of game playing and knowledge, examining programs and hardware alike, before moving into specific programming chapters on Prolog and Python. The sequential learning opportunity, basic AI programming techniques, and inclusion of review questions lends to quick comprehension."

- Midwest Book Review

1: Artificial Intelligence

2: Problem Representation

3: The Search Process

4: Game Playing

5: Knowledge Representation

6: Expert Systems

7: Learning

8: Prolog

9. Python

10. Artificial Intelligence Machines and Robotics

Appendix: Review Questions

Index

N. Gupta

N. Gupta, PhD teaches courses in artificial intelligence and specializes in expert systems.

R. Mangla

R. Mangla is the proprietor of a large manufacturing company using AI machines.

Prolog, Python, search, game, machine, robotics