ARTIFICIAL INTELLIGENCE IN GAMES (2/2 Credits)

Learning Outcomes:

On successful completion of this course, student will be able to: Describe how Artificial Intelligence works in Games; Explain concepts of AI Techniques in Games; Apply AI Techniques in building Games; Construct AI-based Games.

Topics:

1. Introduction;
2. Game AI;
3. Movement: Steering Behaviors;
4. Movement: Predicting Physics & Jumping;
5. Movement: Coordinated Movement, Motor Control & Movement in the Third Dimension;
6. Pathfinding: Djikstra & A;
7. Pathfinding: Hierarchical & Continuous Time Pathfinding;
8. Decision Making: Decision Tree & State Machines;
9. Decision Making: Behavior Tree, Fuzzy Logic & Markov Systems;
10. Decision Making: Goal-Oriented Behavior & Rule-Based System;
11. Learning: Parameter Modification & Action Prediction;
12. Learning: Decision Learning;
13. Project Presentation