Machine Learning for Player Analytics in Tomb Raider: Underworld

Crystal Dynamic’s Tomb Raider: Underworld is about 10 years old, “but hidden behind the game is the story of one of the first major efforts at analyzing player performance in a AAA video game” – Tommy Thompson over at @AIandGames has published a great write-up of some of the earliest analytics research done in collaboration between industry and academia, at the early days of AAA game analytics: “While Tomb Raider Underworld is largely forgotten in the ongoing adventures of Lara Croft, the impact this game had on the emerging game analytics field (and AI research as well) is hard to ignore. In much of the contemporary research literature on game analytics, Tomb Raider: Underworld is celebrated as one of the seminal bodies of work that established what we can learn from even the smallest amounts of data and paved the way for more exciting projects in the future”. This is great reading, and a big thanks to Tommy for his interest in the early days of Game Analytics research. For more on AI and games from Tommy Thompson see his youtube channel.


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