A Backwards View for Assessment
This is an incremental analysis of knowledge representation methods for AI researchers.
The paper addresses the problem of deducing unobservable propositions from observable evidence in AI, noting that current knowledge representation techniques typically encode evidence-to-hypothesis relationships in a directed manner.
Much artificial intelligence research focuses on the problem of deducing the validity of unobservable propositions or hypotheses from observable evidence.! Many of the knowledge representation techniques designed for this problem encode the relationship between evidence and hypothesis in a directed manner. Moreover, the direction in which evidence is stored is typically from evidence to hypothesis.