English | 2020 | ISBN-13: 978-1683925163 | 213 Pages | PDF | 8.68 MB
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 Table of Contents
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.
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