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» A method for online adaptation of computer-game AI rulebase
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IWEC
2004
13 years 6 months ago
Enhancing the Performance of Dynamic Scripting in Computer Games
Unsupervised online learning in commercial computer games allows computer-controlled opponents to adapt to the way the game is being played. As such it provides a mechanism to deal...
Pieter Spronck, Ida G. Sprinkhuizen-Kuyper, Eric O...
ACMACE
2006
ACM
13 years 10 months ago
Motivated reinforcement learning for non-player characters in persistent computer game worlds
Massively multiplayer online computer games are played in complex, persistent virtual worlds. Over time, the landscape of these worlds evolves and changes as players create and pe...
Kathryn Elizabeth Merrick, Mary Lou Maher
CEC
2009
IEEE
13 years 11 months ago
On-line neuroevolution applied to The Open Racing Car Simulator
— The application of on-line learning techniques to modern computer games is a promising research direction. In fact, they can be used to improve the game experience and to achie...
Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi
AIIDE
2006
13 years 6 months ago
Modeling Self-Adapting and Multicultural Non-Player Characters in Artificial Worlds
Modeling the behavior of Non-Player Characters (NPCs) so that they can act properly in an artificial world is a difficult, yet essential task in the development of modern computer...
Samuel Marin