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Tomb Raider: Underworld may well be over a decade old, but it's home to a number of exciting research projects that sought to understand how players play the game once it is released to market.
Research papers referenced in this episode are listed below:
- Drachen, A., & Canossa, A. (2009). Analyzing spatial user behavior in computer games using geographic information systems. In Proceedings of the 13th international MindTrek conference: Everyday life in the ubiquitous era (pp. 182-189). ACM.
- Drachen, A., Canossa, A., & Yannakakis, G. N. (2009). Player modeling using self-organization in Tomb Raider: Underworld. In Computational Intelligence and Games, 2009. CIG 2009. IEEE Symposium on (pp. 1-8). IEEE.
- Mahlmann, T., Drachen, A., Togelius, J., Canossa, A., & Yannakakis, G. N. (2010). Predicting player behavior in Tomb Raider: Underworld. In Computational Intelligence and Games (CIG), 2010 IEEE Symposium on (pp. 178-185). IEEE.
- Sifa, R., Drachen, A., Bauckhage, C., Thurau, C., & Canossa, A. (2013). Behavior evolution in Tomb Raider: Underworld. In Computational Intelligence in Games (CIG), 2013 IEEE Conference on (pp. 1-8). IEEE.
Soundtrack for this episode is the following tracks from the Tomb Raider: Underworld Soundtrack.
- Main Theme
- Coastal Thailand - Ruins
- The Path to Avalon
- The Norse Connection
- Thors God-Like Strength
- Puppet No Longer
#gamedev #MachineLearning #TombRaider