KNOWLEDGE REPRESENTATION AND UNCERTAINTY PROCESSING IN THE PROBABILISTIC EXPERT-SYSTEM PES

The input and output information of the probabilistic expert system PE S is expressed in terms of discrete random variables, the uncertainty of variables is characterized by discrete probability distributions. T he knowledge base of PES has the form of a finite distribution mixture of product components which enables a simple computation of marginal and conditional distributions. The inference mechanism is fully define d by the formula of complete probability and reduces to conditional pr obability distribution in case of definite input information; The expe rt system PES was implemented on PC and applied to several problems.