People Innovation Excellence
 

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

Published at : Updated

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