People Innovation Excellence

ARTIFICIAL INTELLIGENCE (4 Credits)

Learning Outcomes:

On successful completion of this course, student will be able to: Describe what is AI and identify concept of intelligent agent; Explain various intelligent search algorithms to solve the problems; Explain how to use knowledge representation in reasoning purpose; Apply various techniques to an agent when acting under certainty; Demonstrate how to achieve a goal and process the perceptual sign in order to interact with the world; Construct a program using simple AI.

Topics:

  1. Artificial Intelligence;
  2. Introduction AI in Game;
  3. Game AI;
  4. Game Theory;
  5. Searching: Uninformed Search;
  6. Searching: Informed Search I;
  7. Searching: Informed Search II;
  8. Tactical and Strategic AO;
  9. Adversarial Search & Constraint Satisfaction;
  10. Logical Agents;
  11. First Order Logic;
  12. Inference in First Order Logic;
  13. Quantifying Uncertainty;
  14. Probabilistic Reasoning;
  15. Probabilistic Reasoning over Time;
  16. Making Simple Decisions;
  17. Making Complex Decisions;
  18. Learning from examples I;
  19. Learning from examples II;
  20. Classical Planning;
  21. Planning and Acting in the Real World;
  22. Execution Management;
  23. Tools and Content Creation;
  24. Perception;
  25. Designing Game AI

Published at : Updated

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