Artificial Intelligence
Fall 2004 - 2005
Course Content

AI topics
1. Searches and problem solving
  - uninformed searching: depth first, breadth first
  - informed/heuristic searching: best first, A Star, hill climbing
  - route finding through graphs, finding the best path
2. Game playing and adversarial search
  - Minimax trees
  - Alpha-beta pruning of minimax trees
  - Games that include elements of chance
3. Knowledge and reasoning
  - Logical agents
  - First-order logic
  - Knowledge representation
4. Uncertainty and Probabilistic reasoning
  - Bayes' Rule
5. Machine learning
  - Decision trees
  - Evolutionary computation, genetic algorithms
  - Neural networks, perceptrons
  - Pattern matching, language processing
Common Lisp and Python programming languages
1. Lisp and functional programming
2. String parsing, pattern recognition with Python
3. Loops and recursion methods