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.
Table of Contents
Preface
Introduction to artificial intelligence
A brief history of artificial intelligence
Uses and limitations
Knowledge representation
Search
Search methodologies
Advanced search
Game playing
Knowledge representation and automated reasoning
Propositional and predicate logic
Inference and resolution for problem solving
Rules and expert systems
Machine learning
Introduction to machine learning
Neural networks
Probabilistic reasoning and Bayesian belief networks
Artificial life : learning through emergent behavior
Genetic algorithms
Planning
Introduction to planning
Planning methods
Advanced topics
Advanced knowledge representation
Fuzzy reasoning
Intelligent agents
Understanding language
Machine vision
Glossary
Bibliography
Index
Table of Contents provided by Blackwell. All Rights Reserved.