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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 in the 21st Century
Second Edition
ISBN: 978-1-942270-00-3
Pub Date: August 2015
Specs: 8 x 10 Hardcover with DVD
Pages: ~850
Price: $99.95
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.
FEATURES OF SECOND EDITION
- 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
BRIEF 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.
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 authored several books and journal articles and is an International Chess Master.