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. Artificial Intelligence Illuminated
Ben Coppin
Part 1: Introduction to Artificial Intelligence
Chapter 1: A Brief History of AI
Chapter 2: Artificial Intelligence: Uses and Limitations
Chapter 3: Knowledge Representation
Part 2: Search
Chapter 4: Search Methodologies
Chapter 5: Advanced Search
Chapter 6: Game Playing
Part 3: Logic
Chapter 7: Propositional and Predicate Logic
Chapter 8: Inference and Resolution for Problem Solving
Chapter 9: Rules and Expert Systems
Part 4: Machine Learning
Chapter 10: Introduction to Machine Learning
Chapter 11: Neural Networks
Chapter 12: Probabilistic Reasoning and Bayesian Belief Networks
Chapter 13: Artificial Life: Learning through Emergent Behavior
Chapter 14: Genetic Algorithms
Part 5: Planning
Chapter 15: Introduction to Planning
Chapter 16: Planning Methods
Part 6: Advanced Topics
Chapter 17: Advanced Knowledge Representation
Chapter 18: Fuzzy Reasoning
Chapter 19: Intelligent Agents
Chapter 20: Understanding Language
Chapter 21: Machine Vision
