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游戏环境中agent行为的理解

12. Understanding Agent Behaviors in Game Environments
课程网址: http://videolectures.net/aaai08_dixit_uabge/  
主讲教师: Priyesh N. Dixit, G. Michael Youngblood
开课单位: 夏洛特北卡罗来纳大学
开课时间: 2008-06-02
课程语种: 英语
中文简介:
来自真实和人工代理的日志游戏玩家数据的可视化表示可以提供洞察,以便发现否则将被隐藏的模式和行为。我们探索了使用可视化数据挖掘和自动化数据处理来调查记录的玩家数据,并展示了在我们的3079名玩家的数据集中发现五种独特现象的结果。这些现象包括旋转、慌乱、跳跃、学习和涌现行为。通过可视化的数据挖掘过程,我们可以发现这些行为模式的发生,从而理解玩家的行为,改善交互体验。
课程简介: Visual representation of logged game player data from both real and artificial agents can provide insight in order to discover patterns and behavior that would otherwise be hidden. We explore the use of visual data mining and automated data processing to investigate the logged player data and present the results of finding five unique phenomena in our dataset of 3079 players. These phenomena include pirouettes, flusters, jumpers, learning, and emergent behavior. Using the visual data mining process, we can find occurrences of such behavioral patterns in order to understand player behavior and improve the interactive experience.
关 键 词: 游戏环境; agent行为
课程来源: 视频讲座网
最后编审: 2019-11-01:lxf
阅读次数: 37