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Artificial Intelligence in the 21st Century Edition 3
Hardback
September 2022
9781683922230
More details
- Publisher
Mercury Learning and Information - Published
2nd September 2022 - ISBN 9781683922230
- Language English
- Pages 850 pp.
- Size 8" x 10"
- Images 300+ figures & color images
- Request Exam Copy
$99.95
E-Book
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June 2022
9781683922247
More details
- Publisher
Mercury Learning and Information - Published
30th June 2022 - ISBN 9781683922247
- Language English
- Pages 850 pp.
- Size 8" x 10"
- Images 300+ figures & color images
- Request E-Exam Copy
$99.95
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June 2022
9781683922520
More details
- Publisher
Mercury Learning and Information - Published
30th June 2022 - ISBN 9781683922520
- Language English
- Pages 850 pp.
- Size 8" x 10"
- Images 300+ figures & color images
$179.95
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, 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.
The companion files are available online by emailing the publisher with proof of purchase at info@merclearning.com.
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 and Neural Networks
11: Deep Learning
12: Search Inspired by Mother Nature
13: Natural Language Processing
14: Automated Planning
15: Robotics
16. Advanced Computer Games
17. Reprise
18. AI and Security
19. AI Programming
Appendices
Stephen Lucci
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.
Sarhan M. Musa
Sarhan M. Musa holds a PhD in electrical engineering and is currently the Associate Dean of Graduate Studies, Professor of Electrical and Computer Engineering, and the Boeing Welliver & LTD Sprint Fellow at Prairie View A&M University, Texas.
Danny Kopec
Danny Kopec (Late) taught at Brooklyn College. He authored several books and journal articles and was an International Chess Master.
artificial intelligence; search methods; logic; ai; machine learning; expert systems; natural language processing; NLP; robotics; knowledge representation