Artificial Intelligence is a field of computer science which in recent years has meteorically risen from theory and promise to delivery and practice, underlying many present and future complex systems. 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 include neural nets, genetic algorithms, natural language processing, planning and complex board games. A companion DVD is provided with resources, simulations, and figures from the book. Numerous instructors resources are available upon adoption. Features: +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 conce
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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 has been co-PI on education grants from NASA MU-SPIN.
Danny Kopec holds a PhD from the University of Edinburgh and teaches at Brooklyn College and the CUNY Graduate Center. He has authored several books, conference and journal articles, and is an International Chess Master.
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