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public:research:index [2017/11/03 14:26] kimkj |
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| - | ====== Research Topics ====== | ||
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| - | ===== Research on Cognitive Models, Deep Architecture and Multimodal Representation for Deep Reinforcement Learning to Solve Complex Video Games ===== | ||
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| - | ===== Research on Computational Intelligence Techniques for Adaptive Video Games ===== | ||
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| - | ===== Summary ===== | ||
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| - | A video game is an electronic game that involves human interaction with a user interface to generate visual feedback on a video device. In video games, content is often rather static and rigid, its script-based nature can lead to predictable and impersonal game play. On the other hands, adaptive video games attempt to model game players, predict future behaviors and provide tools for game contents generation. This project focuses on the use of computational intelligence algorithms with game logs, interaction data, and user evaluations for adaptative video games. | ||
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