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文章基本信息

  • 标题:A Logic for Reasoning about Evidence
  • 作者:J. Y. Halpern ; R. Pucella
  • 期刊名称:Journal of Artificial Intelligence Research
  • 印刷版ISSN:1076-9757
  • 出版年度:2006
  • 卷号:26
  • 页码:1-34
  • 出版社:American Association of Artificial
  • 摘要:We introduce a logic for reasoning about evidence that essentially views evidence as a function from prior beliefs (before making an observation) to posterior beliefs (after making the observation). We provide a sound and complete axiomatization for the logic, and consider the complexity of the decision problem. Although the reasoning in the logic is mainly propositional, we allow variables representing numbers and quantification over them. This expressive power seems necessary to capture important properties of evidence.
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