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Automatic Content Generation in Computer Games
PrjCFUMax 20  +
PrjCFUMin 5  +
PrjDescription The generation of customized game content The generation of customized game content for each player is an attractive direction to improve the game experience in the next-generation computer games. In this scenario, Machine Learning could play an important role to provide automatically such customized game content. Several projects and theses are available on this topic, please contact us for additional information. Picture taken from http://gar.eecs.ucf.edu/ ;References *Galactic Arm Race (http://gar.eecs.ucf.edu/) *TORCS (http://torcs.sourceforge.net/) *CIG@PoliMI (http://cig.dei.polimi.it/) * J. Togelius, R. De Nardi and S. Lucas. Towards automatic personalised content creation for racing games (http://julian.togelius.com/Togelius2007Towards.pdf) *Daniele Loiacono's AI&R Lab Projects (http://home.dei.polimi.it/loiacono/uploads/Teaching/HomePage/AIRLab_AA20092010.pdf) s/Teaching/HomePage/AIRLab_AA20092010.pdf)
PrjImage Image:gar.jpg  +
PrjLevel Bachelor of Science + , Master of Science +
PrjResArea Computational Intelligence and Games +
PrjResTopic Computational Intelligence and Games +
PrjStarts 1 October 2009  +
PrjStatus Closed  +
PrjStudMax 2  +
PrjStudMin 1  +
PrjTitle Automatic Content Generation in Computer Games  +
PrjTutor User:DanieleLoiacono +
PrjType Course + , Thesis +
Categories ProjectProposal  +
Modification dateThis property is a special property in this wiki. 28 April 2011 16:04:24  +
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