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  • 标题:Computational Everyday Life Human Behavior Model as Servicable Knowledge Action Research using Probabilistic Causal Structure Modeling
  • 本地全文:下载
  • 作者:Yoichi Motomura ; Yoshifumi Nishida
  • 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:2010
  • 卷号:25
  • 期号:5
  • 页码:651-661
  • DOI:10.1527/tjsai.25.651
  • 出版社:The Japanese Society for Artificial Intelligence
  • 摘要:A project called `Open life matrix' is not only a research activity but also real problem solving as an action research. This concept is realized by large-scale data collection, probabilistic causal structure model construction and information service providing using the model. One concrete outcome of this project is childhood injury prevention activity in new team consist of hospital, government, and many varieties of researchers. The main result from the project is a general methodology to apply probabilistic causal structure models as servicable knowledge for action research. In this paper, the summary of this project and future direction to emphasize action research driven by artificial intelligence technology are discussed.
  • 关键词:probabilistic causal structure modeling ; computational human modeling ; Bayesian network ; action research ; servicable knowledge
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