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Mercury Learning & Information
Artificial Intelligence in the 21st Century / Edition 2

Artificial Intelligence in the 21st Century / Edition 2

by Stephen Lucci, Danny KopecStephen Lucci


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This text 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. Advanced topics cover neural nets, genetic algorithms, and complex board games. A companion DVD is included with resources, simulations, and figures from the book. Instructors’ resources are available upon adoption.


•New separate chapters on Robotics, Machine Learning, and Computer Games
•Introduces important AI concepts e.g., expert systems, use in video games, neural nets,machine learning, and more through practical applications
•Includes DVD with resources, simulations, and figures from the book
•Numerous instructors’ resources e.g., solutions, Microsoft PP slides, etc. available for adopters

Product Details

ISBN-13: 9781942270003
Publisher: Mercury Learning & Information
Publication date: 12/31/2015
Edition description: New Edition
Pages: 615
Sales rank: 980,241
Product dimensions: 8.10(w) x 10.10(h) x 1.50(d)

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 holds a Ph.D. from the University of Edinburgh and currently teaches at Brooklyn College. He has published more than 80 academic articles on computer chess, AI, intelligent tutoring systems, and computer science education. He is the author of Artificial Intelligence in the 21st Century and Artificial Intelligence Problems and Their Solutions and several chess books.

Table of Contents

1: Overview of AI. 2: Uninformed Search. 3: Intelligent Search Methods. 4: Search Using Games I. 5: Logic in AI. 6: Knowledge Representation. 7: Production Systems. 8. Uncertainty in AI. 9: Expert Systems. 10: Machine Learning I: Decision Trees. 11: Machine Learning 2: Neural Networks. 12: Search Inspired by Mother Nature. 13: Natural Language Processing.14: Automated Planning.15: Robotics. 16. Advanced Computer Games. 17. Future of AI. Appendices.

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