Publisher
Artificial Intelligence Basics
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N. Gupta
and R. Mangla
About this book
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
Author / Editor information
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.
Reviews
"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."
Topics
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Frontmatter
i -
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CONTENTS
v -
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Acknowledgments
ix -
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1 ARTIFICIAL INTELLIGENCE (AI)
1 -
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2 PROBLEM REPRESENTATION
13 -
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3 THE SEARCH PROCESS
25 -
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4 GAME PLAYING
43 -
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5 KNOWLEDGE REPRESENTATION
53 -
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6 EXPERT SYSTEMS
71 -
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7 LEARNING
95 -
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8 PROLOG
105 -
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9 PYTHON
121 -
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10 ARTIFICIAL INTELLIGENCE MACHINES AND ROBOTICS
139 -
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REVIEW QUESTIONS
187 -
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INDEX
193
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Manufacturer information:
Walter de Gruyter GmbH
Genthiner Straße 13
10785 Berlin
productsafety@degruyterbrill.com