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Dec 26, 2024
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COGS 6430 - Learning and Advanced Game AI
Digital gaming is one of the most rapidly developing fields. The effort required for developing games is not trivial. To make a game fun to play, the design of the game levels and/or the AI-driven opponents need to be intelligent and adaptive to the players’ strategies and skills. In this course, students will learn and explore using machine learning techniques to automate the design process of digital games. The course will cover basic and advanced topics in Artificial Intelligence and Learning, such as Decision Trees, Neural Networks, Genetic Algorithms, and Reinforcement Learning. Students will gain hands-on experience in applying these techniques in computer games. The course will also introduce psychological theories and studies about people’s decision-making and emotional processes and how they are related to the players’ experience in games. This course will take the form of a combination of lectures, presentations by students, class discussions, and independent study.
Prerequisites/Corequisites: Graduate standing.
When Offered: Fall term annually.
Co-Listed: COGS 4430 . Students cannot obtain credit for both COGS 4430 and COGS 6430.
Credit Hours: 4
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