Artificial Intelligence: A Guide to Intelligent Systems (2nd Edition)
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Artificial intelligence is often considered a highly complex and even daunting subject in computer science. For a long time, books on artificial intelligence have tended to cover complex matrix algebra and differential equations. This book, which was developed from the lecture notes the author used for many years to teach students with little knowledge of calculus, assumes no prior programming experience and shows that most of the basics of intelligent systems are actually simple to understand.
Artificial Intelligence: A Guide to Intelligent Systems (2nd Edition) has been adopted by many universities around the world (e.g., University of Magdeburg in Germany, Hiroshima University in Japan, Boston University and Rochester Institute of Technology in the United States). If you are looking for an easy-to-understand introductory textbook for courses on artificial intelligence or intelligent system design, or if you are not a professional in the field of computer science but are looking for a self-study guide to the latest technological developments in knowledge-based systems, this book will be the best choice.
This book is a textbook on artificial intelligence. It is easy to understand, comprehensive in content, rich in cases, and detailed in references. It is not only suitable for beginners in artificial intelligence, but also very suitable for researchers in related disciplines without a computer background.
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