Chapter 1 The History of AI What is Intelligence? The Search for Mechanical Intelligence The Very Early Days (the early 1950s) Artificial Intelligence Emerges as a Field AI's Winter AI Re-emerges AI Inter-Disciplinary R&D Systems Approach Overview of this Book Chapter Summary References Resources Exercises Chapter 2 Uninformed Search Search and AI Classes of Search General State Space Search Trees, Graphs, and Representation Uninformed Search Improvements Algorithm Advantages Chapter Summary Algorithms Summary References Exercises Chapter 3 Informed Search Informed Search Best-First Search (Best-FS) A* Search Hill-Climbing Search Simulated Annealing (SA) Tabu Search Constraint Satisfaction Problems (CSP) Constraint Satisfaction Algorithms Chapter Summary Algorithms Summary References Resources Exercises Chapter 4 AI and Games Two-Player Games The Minimax Algorithm Classical Game AI Video Game AI Chapter Summary References Resources Exercises Chapter 5 Knowledge Representation Introduction Types of Knowledge The Role of Knowledge Semantic Networks Frames Propositional Logic First-Order Logic (Predicate Logic) Semantic Web Computational Knowledge Discovery Ontology Communication of Knowledge Chapter Summary References Resources Exercises Chapter 6 Machine Learning Machine-Learning Algorithms Chapter Summary Resources Exercises Chapter 7 Evolutionary Computation Short History of Evolutionary Computation Biological Motivation …… Chapter 8 Neural Networks I Chapter 9 Neural Networks II Chapter 10 Robotics and AI Chapter 11 Intelligent Agents Chapter 12 Biologically Inspired and Hybrid Models Chapter 13 The Languages of AI
