Difference between revisions of "Automatic Content Generation in Computer Games"

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{{ProjectProposal
 
{{ProjectProposal
|title=Automatic Content Generation in Computer Games  
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|title=Automatic Content Generation in Computer Games
|image=gar.Jpg
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|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.
 
|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/
+
Picture taken from http://gar.eecs.ucf.edu/
 
;References
 
;References
 
*Galactic Arm Race (http://gar.eecs.ucf.edu/)  
 
*Galactic Arm Race (http://gar.eecs.ucf.edu/)  
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|studmin=1
 
|studmin=1
 
|studmax=2
 
|studmax=2
|restopic=Computational Intelligence and Games; Content Generation
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|cfumin=5
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|cfumax=20
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|resarea=Computational Intelligence and Games
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|restopic=Computational Intelligence and Games;  
 
|level=Bs; Ms
 
|level=Bs; Ms
 
|type=Course; Thesis
 
|type=Course; Thesis
|status=Proposal
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|status=Closed
 
}}
 
}}

Latest revision as of 17:04, 28 April 2011

Title: Automatic Content Generation in Computer Games
Gar.jpg

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.

Picture taken from http://gar.eecs.ucf.edu/

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