Podcast	Slides	Readings
Lecture 1: Goals of Gaming AI	Powerpoint for Lecture 1	Chapter 1, 2
Lecture 2: Decision Making and Decision Trees	Powerpoint for Lecture 2	Chapter 5.1 - 5.2
Lecture 3: Finite State Machines	Powerpoint for Lecture 3	Chapter 5.3
Lecture 4: Hierarchical State Machines	Powerpoint for Lecture 4	Chapter 5.3
Lecture 5: Probabilistic State Machines	Powerpoint for Lecture 5	Chapter 5.5
Lecture 6: Fuzzy State Machines	Powerpoint for Lecture 6	Chapter 5.4
Lecture 7a: Movement and Game Physics Lecture 7b: Simple Steering Behaviors	Powerpoint for Lecture 7	Chapter 3.1 - 3.4
Lecture 8: Complex and Combined Steering Behaviors	Powerpoint for Lecture 8	Chapter 3.1 - 3.4, 3.6
Lecture 9: Cooperative Movement	Powerpoint for Lecture 9	Chapter 3.7
Lecture 10: Path Creation	Powerpoint for Lecture 10	Chapter 4
Lecture 11: Path Planning Algorithms	Powerpoint for Lecture 11	Chapter 4
Lecture 12: Dynamic Path Planning	Powerpoint for Lecture 12	Chapter 4
Lecture 13: Tactical Analysis and Influence Maps	Powerpoint for Lecture 13	Chapter 6
Lecture 14: Terrain Analysis	Powerpoint for Lecture 14	Chapter 6
Lecture 15: Decision Making with Influence Maps	Powerpoint for Lecture 15	Chapter 6
Lecture 16: Goal-Oriented Behavior	Powerpoint for Lecture 16	Chapter 5.6
Lecture 17: Goal-Oriented Action Planning	Powerpoint for Lecture 17	Chapter 5.6
Lecture 18: Smart Terrain	Powerpoint for Lecture 18	Chapter 5.6
Lecture 19: Learning	Powerpoint for Lecture 19	Chapter 7.1
Lecture 20a: Hill Climbing Lecture 20b: N-Grams	Powerpoint for Lecture 20	Chapter 7.2 - Chapter 7.3
Lecture 21a: Board Games and the MinMax algorithm Lecture 21b: Efficiency and the MinMax algorithm	Powerpoint for Lecture 21	Chapter 8
Lecture 22: Heurstics for Board Games	Powerpoint for Lecture 22	Chapter 8
Lecture 23: Natural Language Understanding in Games	Powerpoint for Lecture 23
Lecture 24: Off-line Learning and Neural Networks	Powerpoint for Lecture 24