Difference between revisions of "Data Mining in Computer Games"

From AIRWiki
Jump to: navigation, search
m
 
Line 8: Line 8:
 
* TORCS (http://torcs.sourceforge.net/)
 
* TORCS (http://torcs.sourceforge.net/)
 
*QuakeLive (http://www.quakelive.com)
 
*QuakeLive (http://www.quakelive.com)
*Daniele Loiacono's AI&R Lab Projects (http://home.dei.polimi.it/loiacono/uploads/Teaching/HomePage/AIRLab_AA20092010.pdf)  
+
*Daniele Loiacono's AI&R Lab Projects (http://home.dei.polimi.it/loiacono/uploads/Teaching/HomePage/AIRLab_AA20092010.pdf)
|tutor=DanieleLoiacono;  
+
|tutor=DanieleLoiacono;
 
|start=2009/10/01
 
|start=2009/10/01
 
|studmin=1
 
|studmin=1
Line 16: Line 16:
 
|cfumax=20
 
|cfumax=20
 
|resarea=Computational Intelligence and Games
 
|resarea=Computational Intelligence and Games
 +
|restopic=Computational Intelligence and Games;
 
|level=Bs; Ms
 
|level=Bs; Ms
 
|type=Course; Thesis
 
|type=Course; Thesis
|status=Proposal
+
|status=Closed
 
}}
 
}}

Latest revision as of 18:04, 28 April 2011

Title: Data Mining in Computer Games
QLive.png

Image:QLive.png

Description: Today a lot of data can be extracted from popular games. The analysis of such data allow to discover a lot of interesting information about players, the game and the interaction between the game and different type of players.

Several theses and projects are available on this topic and involve different games: TORCS, Unreal Tournament and Quake Live. Please contact us for additional information.

References
Tutor: DanieleLoiacono (loiacono@elet.polimi.it)
Start: 2009/10/01
Students: 1 - 2
CFU: 5 - 20
Research Area: Computational Intelligence and Games
Research Topic: Computational Intelligence and Games
Level: Bs, Ms
Type: Course, Thesis
Status: Closed