# 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} }

- Published 2011 in Behavior research methods
DOI:10.3758/s13428-011-0099-3

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