From Book News, Inc.
Intended for computer science students, this textbook explains current efforts to use algorithms, heuristics, and methodologies based on the ways in which the human brain solves problems in the fields of machine learning, multi-agent systems, computer vision, planning, and playing games. It covers local search methods, propositional and predicate logic, rules and expert systems, neural networks, Bayesian belief networks, genetic algorithms, fuzzy logic, and intelligent agents.Copyright © 2004 Book News, Inc., Portland, OR

Book Description
Artificial Intelligence Illuminated presents an overview of the background and history of artificial intelligence, emphasizing its importance in today’s 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.

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