Assessing semantic coherence in conditional probability estimates.

@article{Fisher2011AssessingSC,
  title={Assessing semantic coherence in conditional probability estimates.},
  author={Christopher R. Fisher and Christopher R. Wolfe},
  journal={Behavior research methods},
  year={2011},
  volume={43 4},
  pages={999-1002}
}
Semantic coherence is a higher-order coherence benchmark that assesses whether a constellation of estimates--P(A), P(B), P(B | A), and P(A | B)--maps onto the relationship between sets implied by the description of a given problem. We present an automated method for evaluating semantic coherence in conditional probability estimates that efficiently reduces a large problem space into five meaningful patterns: identical sets, subsets, mutually exclusive sets, overlapping sets, and independent… CONTINUE READING

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