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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
Third Edition
ISBN: 978-1-68392-223-0
Pub Date: December 2018
Specs: 8 x 10 Hard Cover with Disc
Pages: ~850
Price: $99.95
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, robotics and machine learning 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 and robotics with new sections on speech understanding and metaphor in NLP
- 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.
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. Deep Learning. 18. Future of AI. Appendices.
ABOUT THE AUTHORS
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) held a Ph.D. from the University of Edinburgh and taught at Brooklyn College. He authored several books and journal articles and was an International Chess Master.