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COGS-4430 - Learning and Advanced Game AI
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< meta property = "og:description" content = "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." >
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Learning and Advanced Game AI
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COGS-4430
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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.
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4 credits
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Prereqs:
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none
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Past Term Data
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Offered
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Not Offered
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Offered as Cross-Listing Only
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Simple View
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Detailed View
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< th class = "spring season-label" > Spring< / th >
< th class = "summer season-label" colspan = "2" > Summer< / th >
< th class = "fall season-label" > Fall< / th >
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< th class = "summer2 midsum-label" > (Session 1)< / th >
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Learning & Advanced Game Ai (4c)
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Seats Taken: 0/19
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Learning & Advanced Game Ai (4c)
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Seats Taken: 8/19
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< td class = "term fall not-offered" >
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Learning & Advanced Game Ai (4c)
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< li > Mei Si< / li >
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Seats Taken: 10/15
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< th class = "year" > 2019< / th >
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< td class = "term fall not-offered" >
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< th class = "year" > 2017< / th >
< td class = "term spring not-offered" >
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< td colspan = "2" class = "term summer not-offered" >
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< td class = "term fall not-offered" >
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< td class = "term fall not-offered" >
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< td class = "term spring not-offered" >
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< td colspan = "2" class = "term summer not-offered" >
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< td class = "term fall not-offered" >
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< td class = "term spring not-offered" >
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< td class = "term fall not-offered" >
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< td class = "term spring not-offered" >
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< td class = "term fall not-offered" >
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< td class = "term spring not-offered" >
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< td class = "term fall not-offered" >
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< td class = "term spring not-offered" >
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< td class = "term fall not-offered" >
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