AI and Games

Machine Learning Analysis of Player Behaviour in Tomb Raider: Underworld | AI and Games (2018x12)

Data di messa in onda: Ago 22, 2018

AI and Games is a crowdfunded show and needs your support. You can help fund this series on Paypal, KoFi and Patreon (where you can get access to additional content). http://www.paypal.me/AIandGames http://www.ko-fi.com/AIandGames http://www.patreon.com/ai_and_games You can follow AI and Games (and me) on Facebook and Twitter: http://www.facebook.com/AIandGames http://www.twitter.com/AIandGames http://www.twitter.com/GET_TUDA_CHOPPA A written version of this video is available: The AI and Games website: http://aiandgames.com/tomb-raider/ Medium: https://medium.com/@t2thompson/tombraider-60682f8fe36f -- 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. https://www.researchgate.net/profile/Alessandro_Canossa/publication/307476789_Analyzing_User_Behavior_in_Digital_Games/links/5a1ee55b0f7e9b9d5e005056/Analyzing-User-Behavior-in-Digital-Games.pdf - 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. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.456.4596&rep=rep1&type=pdf - 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. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.180.6405&rep=rep1&type=pdf - Sifa, R., Drachen, A.,