On a deductive reasoning model and method for uncertainty

摘要

Discusses a problem of deduction with uncertainty that has been dealt with by various diagnostic expert systems. First, we propose a mathematical framework of deductive reasoning with uncertainty. The subject of the reasoning is the calculation of conditional probabilities. Second, we establish a new reasoning method. Our deduction algorithm can compute the conditional probabilities precisely. To put it another way around, the result minimizes the divergence.