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文章基本信息

  • 标题:A Logic for Reasoning about Upper Probabilities
  • 本地全文:下载
  • 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:2002
  • 卷号:17
  • 页码:57-81
  • 出版社:American Association of Artificial
  • 摘要:We present a propositional logic to reason about the uncertainty of events, where the uncertainty is modeled by a set of probability measures assigning an interval of probability to each event. We give a sound and complete axiomatization for the logic, and show that the satisfiability problem is NP-complete, no harder than satisfiability for propositional logic.
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