Predicting player behavior in Tomb Raider: Underworld

Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games, CIG2010

Volumn , Issue , 2010, Pages 178-185

  Mahlmann, Tobias ^a   Drachen, Anders ^a   Togelius, Julian ^a   Canossa, Alessandro ^a   Yannakakis, Georgios N ^a  

^a IT UNIVERSITY OF COPENHAGEN   (Denmark)

Author keywords

classification; Player modeling; supervised learning; Tomb Raider: Underworld

Indexed keywords

DATA COLLECTION; DATA SETS; DECISION TREE LEARNING; GAMEPLAY; LINEAR REGRESSION MODELS; NONLINEAR CLASSIFICATION; PLAYER BEHAVIOR; PLAYER MODELING; PREDICTION MODEL; REMOTE CLIENTS; TOMB RAIDER: UNDERWORLD;

ARTIFICIAL INTELLIGENCE; DECISION TREES; INTERACTIVE COMPUTER GRAPHICS; LEARNING ALGORITHMS; MATHEMATICAL MODELS; PLANT EXTRACTS; REGRESSION ANALYSIS; SUPERVISED LEARNING;

FORECASTING;

EID: 80051941869     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITW.2010.5593355     Document Type: Conference Paper

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