Artificial Intelligence in the 21st Century, Third Edition
- 15h 2m
- Danny Kopec, Sarhan M. Musa, Stephen Lucci
- Mercury Learning
- 2022
This third edition provides a comprehensive, colorful, up-to-date, and accessible presentation of AI without sacrificing theoretical foundations. It includes numerous examples, applications, full color images, and human interest boxes to enhance student interest. New chapters on deep learning, AI security, and AI programming are included. Advanced topics cover neural nets, genetic algorithms, natural language processing, planning, and complex board games. A companion disc is provided with resources, applications, and figures from the book. Numerous instructors’ resources are available upon adoption.
Features:
- Includes new chapters on deep learning, AI security, and AI programming
- Provides a comprehensive, colorful, up to date, and accessible presentation of AI without sacrificing theoretical foundations
- Uses numerous examples, applications, full color images, and human interest boxes to enhance student interest
- Introduces important AI concepts e.g., robotics, use in video games, neural nets, machine learning, and more thorough practical applications
- Features over 300 figures and color images with worked problems detailing AI methods and solutions to selected exercises
- Includes companion files with resources, simulations, and figures from the book
- Provides numerous instructors’ resources, including: solutions to exercises, Microsoft PP slides, etc.
About the Author
Stephen Lucci holds a Ph.D. from the CUNY Graduate School and currently teaches computer science at The City College of New York. Dr. Lucci has published in the areas of high-performance computing and artificial intelligence.
Danny Kopec (Late) taught at Brooklyn College. He authored several books and journal articles and was an International Chess Master.
Sarhan M. Musa, Ph.D. teaches numerous courses at Prairie View A&M University, Texas and is the author of several books including Computational Nanophotonics (CRC Press) and Finite Element Analysis(MLI).
In this Book
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Preface
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Credits for the 3rd Edition
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Overview of Artificial Intelligence
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Uninformed Search
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Informed Search
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Search Using Games
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Logic in Artificial Intelligence
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Knowledge Representation
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Production Systems
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Uncertainty in AI
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Expert Systems
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Machine Learning—Part I Neural Networks
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Machine Learning—Part II Deep Learning
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Search Inspired by Mother Nature
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Natural Language Understanding
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Automated Planning
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Robotics
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Advanced Computer Games
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Reprise
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Artificial Intelligence in Security (Optional)
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Artificial Intelligence Programming Tools (Optional)
