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.

• The most current text available • Presents material in a clear, student-friendly manner • Explores how Artificial Intelligence is applied in the real world • Illustrated with pseudocode examples

Preface / Part 1: Introduction to Artificial Intelligence / A Brief History of AI / Artificial Intelligence: Uses and Limitations / Knowledge Representation / Part 2: Search / Search Methodologies / Advanced Search / Game Playing / Part 3: Logic / Propositional and Predicate Logic / Inference and Resolution for Problem Solving / Rules and Expert Systems / Part 4: Machine Learning / Introduction to Machine Learning / Neural Networks / Probabilistic Reasoning and Bayesian Belief Networks / Artificial Life: Learning through Emergent Behavior / Genetic Algorithms / Part 5: Planning / Introduction to Planning / Planning Methods / Part 6: Advanced Topics / Advanced Knowledge Representation / Fuzzy Reasoning / Intelligent Agents / Understanding Language / Machine Vision / Glossary / Bibliography / Index

Undergraduate Students