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Artificial Intelligence Illuminated
Book Description Artificial Intelligence Illuminated presents an overview of the background and history of artificial intelligence, emphasizing its importance in todays society and potential for the future. The book covers a range of AI techniques, algorithms, and methodologies, including game playing, intelligent agents, machine learning, genetic algorithms, and Artificial Life. Material is presented in a lively and accessible manner and the author focuses on explaining how AI techniques relate to and are derived from natural systems, such as the human brain and evolution, and explaining how the artificial equivalents are used in the real world. Each chapter includes student exercises and review questions, and a detailed glossary at the end of the book defines important terms and concepts highlighted throughout the text. Reader Reviews I recently completed the abbreviated January term class at my college where I taught Artificial Intelligence (AI) using this book. The course was an experimental one with the goal being to eventually add it to our regular offerings. While I found this book adequate for the abbreviated session, I will not use it when AI is offered during a regular term. I found the depth of coverage of most of the topics to be less than what I will need in a full semester course. The topics in the book are exactly what I would cover in such a course, but the examples are limited and too rare in appearance. For example, finite automata are introduced on pages 366-368 but the only example is the simplest possible automaton, a two state acceptor of an even number of a's. Some of the notations were confusing and quite frankly unnecessarily so. A few additional words of explanation would have prevented a simple concept from appearing so complex. The pseudo-code used to demonstrate alpha-beta pruning was close to incomprehensible, although the example was simple. These examples and many others just made the book too hard to read. Comment | | (Report this)
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