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  • 标题:Modeling Physical Skill Discovery and Diagnosis by Abduction
  • 本地全文:下载
  • 作者:Ikuo Kobayashi ; Koichi Furukawa
  • 期刊名称:人工知能学会論文誌
  • 印刷版ISSN:1346-0714
  • 电子版ISSN:1346-8030
  • 出版年度:2008
  • 卷号:23
  • 期号:3
  • 页码:127-140
  • DOI:10.1527/tjsai.23.127
  • 出版社:The Japanese Society for Artificial Intelligence
  • 摘要:We investigate an Abductive Logic Programming (ALP) framework to find appropriate hypotheses to explain both professional and amateur skill performance, and to distinguish and diagnose amateur faulty performance. In our approach, we provide two kinds of rules: motion integrity constraints and performance rules. Motion integrity constraints are essential to formulate skillful performance, as they prevent the generation of hypotheses that contradict the constraints.
  • 关键词:skill science ; skill discovery ; skill diagnosis ; abduction ; Abductive Logic Programming
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