ARTIFICIAL INTELLIGENCE (4 Credits)

Learning Outcomes:

On successful completion of this course, student will be able to: Describe How Artificial Intelligence Works in Games; Design AI-based game; Explain the concepts of AI Techniques in Game; Construct AI-Based Game.

Topics:

1. Introduction to AI for Games;
2. Game AI;
3. Introduction to Game Movement;
4. Advanced Game Movement;
5. Pathfinding: Dijkstra & A*;
6. Pathfinding: Hierarchical & Continuous Time Pathfinding;
7. Decision Making: Decision Tree & State Machines;
8. Decision Making: Behavior Tree;
9. Decision Making: Fuzzy Logic & Markov Systems;
10. Decision Making: Goal-Oriented Behavior;
11. Decision Making: Rule-Based System;
12. Scripting;
13. Algorithm Implementation in Game I;
14. Algorithm Implementation in Game II;
15. Tactical and Strategic AI;
16. Board Games;
17. Designing Board Games Using AI;
18. Introduction of Designing Game AI;
19. Extension of Designing Game AI;
20. AI-Based Game Genres;
21. Learning Parameter Modification & Action Prediction;
22. Decision Learning I;
23. Decision Learning II;
24. Review & Project Presentation.