Automatic Content Generation in Computer Games

Title:	Automatic Content Generation in Computer Games	300px Image:Gar.Jpg
Description:	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. Picutre 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)
Tutor:	DanieleLoiacono (loiacono@elet.polimi.it)
Start:	2009/10/01
Students:	1 - 2
CFU:	5
Research Topic:	Computational Intelligence and Games, Content Generation
Level:	Bs, Ms
Type:	Course, Thesis
Status:	Active