Artificial Intelligence Illuminated (Paperback)
暫譯: 人工智慧啟示錄 (平裝本)

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:

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