<aside> 💡 [Spring 2024] Computer Game Intelligence (30543)

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Time & Location

• Time: Thu. 15:00 - 17:50
• Location: Rm #B106, 301 Bldg., Chung-Ang University, Seoul

Instructor

Prof. Hak Gu Kim [Link]

• E-mail: [email protected]

• Webpage:

  HOME

• Office: Rm #818, 305 Bldg., Chung-Ang University, Seoul

• Office Hours: Wed. 13:00 - 15:00

Course Description

This course introduces the basic concepts and technologies of artificial intelligence system design for designing artificial intelligence-based games. In particular, you will focus on learning probability statistics and decision theory modeling.

To this end, we will look at basic search methods, game trees, Markov decision process, reinforcement learning, probability, perceptron, neural networks, etc.

We provide intuitive and practical learning about game artificial intelligence by actually implementing a simple artificial intelligence Pac-Man game through programming assignments over the course of a semester.

• Topics:
  • Uninformed/Informed/Adversarial Searches
  • Game Trees
  • Markov Decision Process (MDP)
  • Reinforcement Learning
  • Bayes Nets & Naive Bayes
  • Neural Networks

Textbook

The following textbook is NOT requirement.