CS 4700: Foundations of Artificial Intelligence

Fall 2016

Announcements

Office hours: TBA

Lecture Slides

  1. Course admin (pdf)

  2. Non-Human AI (pdf)

  3. Introduction (part 1) (pdf)

  4. Introduction (part 2) (pdf)

  5. Problem Solving by Search (pdf)

  6. Informed Search (pdf)

  7. Adversarial Search and Games (pdf)

  8. Local Search, Simulated Annealing (SA), and Genetic Algorithms (pdf)

  9. Further notes on SA and Markov Chains

  10. Boolean Satisfiability Encodings (pdf)

  11. Knowledge Representation --- Part I (pdf)

  12. Knowledge Representation --- Part II (pdf)

  13. Knowledge Representation --- First-Order Logic (pdf)

  14. Machine Learning: Decision Trees (pdf)

  15. Neural Networks (Intro & Perceptron learning) (pdf)

  16. Neural Networks (Backpropagation) (pdf)

  17. Reinforcement Learning (Intro) (pdf)

Homeworks