A Logic for Reasoning About Evidence

UAI 2003 pp. 297-304

doi:10.1613/jair.1838 /uai/2003/halpern2003uai-logic/

Abstract

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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Text

Halpern and Pucella. "A Logic for Reasoning About Evidence." Conference on Uncertainty in Artificial Intelligence, 2003. doi:10.1613/jair.1838

Markdown

[Halpern and Pucella. "A Logic for Reasoning About Evidence." Conference on Uncertainty in Artificial Intelligence, 2003.](https://mlanthology.org/uai/2003/halpern2003uai-logic/) doi:10.1613/jair.1838

BibTeX

@inproceedings{halpern2003uai-logic,
  title     = {{A Logic for Reasoning About Evidence}},
  author    = {Halpern, Joseph Y. and Pucella, Riccardo},
  booktitle = {Conference on Uncertainty in Artificial Intelligence},
  year      = {2003},
  pages     = {297-304},
  doi       = {10.1613/jair.1838},
  url       = {https://mlanthology.org/uai/2003/halpern2003uai-logic/}
}