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MERCURY LEARNING and INFORMATION provides print and digital content in the areas of science and medicine, technology and computing, engineering, and mathematics (STEM disciplines) designed for the professional/reference, trade, library, higher education, career school, and online training markets. We embrace both traditional and innovative publishing models designed to accommodate the needs of the intended audience by using the appropriate delivery methods.
Artificial Intelligence Basics
A Self-Teaching Introduction
ISBN: 9781683925163
Pub Date: February 2020
Specs: 7 x 9 Paperback
Pages: 200
Price: $XX.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
BRIEF TOC
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.
ABOUT THE AUTHORS
N. Gupta, PhD teaches courses in artificial intelligence and specializes in expert systems.
R. Mangla is the proprietor of a large manufacturing company using AI machines.