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Artificial Intelligence is a quickly changing field that has gone from theory and promise to delivery and practice in a meteoric way in recent years. 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. Numerous instructors’ resources are available upon adoption. Brief table of contents 1: Overview of Artificial Intelligence. 2: Uninformed Search. 3: Informed Search. 4: Search Using Games. 5: Logic. 6: Knowledge Representation. 7: Production Systems. 8: Reasoning Under Uncertainty. 9: Expert Systems. 10: Neural Computation. 11: Search Inspired by Moth 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.
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