Representativeness and Uncertainty in Classification Schemes

The choice of implication as a representation for empirical associations and for deduction as a model of inference requires a mechanism extraneous to deduction to manage uncertainty associated with inference. Consequently, the interpretation of representations of uncertainty is unclear. The calculation of representativeness depends on the nature of the associations between evidence and conclusions. We discuss an expert system that uses endorsements to control the search for the most representative conclusion, given evidence.