Connectionist vs. symbolic feature representation in evidential support logic

The use of evidential support logic in deductive reasoning is introduced. Two methods of matching features within objects are considered, which are based on a symbolic and a subsymbolic approach, respectively. The two are compared in a small example which uses four handwritten characters. Training is performed over a small set of perfect examples and a set of untrained test cases is considered. The conclusions suggest that although both methods have certain merits, it is possible to combine the advantages due to the transparency of the feature mapping method to the rest of the evidential support engine