Artificial Intelligence and Robotics Commons^™

Detecting Metagame Shifts In League Of Legends Using Unsupervised Learning, Dustin P. Peabody

University of New Orleans Theses and Dissertations

Over the many years since their inception, the complexity of video games has risen considerably. With this increase in complexity comes an increase in the number of possible choices for players and increased difficultly for developers who try to balance the effectiveness of these choices. In this thesis we demonstrate that unsupervised learning can give game developers extra insight into their own games, providing them with a tool that can potentially alert them to problems faster than they would otherwise be able to find. Specifically, we use DBSCAN to look at League of Legends and the metagame players have formed …