Artificial Intelligence Basics
A Self-Teaching Introduction
1st Edition
Published on 3. March 2020
203 pages
978-1-68392-514-9 (ISBN)
Description
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 modernapplications.
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
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More details
Language
English
Place of publication
Herndon, VA
United States
Target group
Professional and scholarly
US School Grade: College Graduate Student
File size
9,91 MB
ISBN-13
978-1-68392-514-9 (9781683925149)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
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03/2020
1st Edition
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Persons
Gupta N. :
N. Gupta, PhD teaches courses in artificial intelligence and specializes in expert systems.
Mangla R. :
R. Mangla is the proprietor of a large manufacturing company using AI machines.
Content
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
