Learning Abductive Reasoning Using Random Examples

@inproceedings{Juba2016LearningAR,
  title={Learning Abductive Reasoning Using Random Examples},
  author={Brendan Juba},
  booktitle={AAAI},
  year={2016}
}
We consider a new formulation of abduction. Our formulation differs from the existing approaches in that it does not cast the “plausibility” of explanations in terms of either syntactic minimality or an explicitly given prior distribution. Instead, “plausibility,” along with the rules of the domain, is learned from concrete examples (settings of attributes… CONTINUE READING

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