Artificial Intelligence

• 1. Introduction
  • 1.1. History of AI
  • 1.2. What is intelligence
  • 1.3. Application
  • 1.4. Useful resources
• 2. Graph search strategy
  • 2.1. State space
  • 2.2. Tricolor Algorithms
  • 2.3. Basic Graph Search Algorithm
  • 2.4. Heuristic Search
  • 2.5. Influencial Factors of Speed of A*
• 3. Introduction of computation complexity
  • 3.1. Compare pros and cons of different algorithm
  • 3.2. Classification of problems
• 4. And-or Tree
  • 4.1. And-or tree/graph
  • 4.2. Solution graphs
  • 4.3. Solved-labeling algorithm
  • 4.4. Solution graphs with cycles
  • 4.5. Hypergraphs
• 5. Game Tree
  • 5.1. Basic concept
  • 5.2. Game Tree
  • 5.3. Example: Tic-tac-toe
  • 5.4. Game Playing Introduction
  • 5.5. Alpha–beta pruning
  • 5.6. Monte Carlo Tree Search
• 6. Predicate Logic
  • 6.1. Propositional Logic
  • 6.2. Defination of Predicate Logic
  • 6.3. Prenex Normal Form
  • 6.4. Resolution Principle