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  • 标题:Towards A Logical Account of Epistemic Causality
  • 本地全文:下载
  • 作者:Shakil M. Khan ; Mikhail Soutchanski
  • 期刊名称:Electronic Proceedings in Theoretical Computer Science
  • 电子版ISSN:2075-2180
  • 出版年度:2019
  • 卷号:308
  • 页码:1-16
  • DOI:10.4204/EPTCS.308.1
  • 语种:English
  • 出版社:Open Publishing Association
  • 摘要:Reasoning about observed effects and their causes is important in multi-agent contexts. While there has been much work on causality from an objective standpoint, causality from the point of view of some particular agent has received much less attention. In this paper, we address this issue by incorporating an epistemic dimension to an existing formal model of causality. We define what it means for an agent to know the causes of an effect. Then using a counterexample, we prove that epistemic causality is a different notion from its objective counterpart.
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