A survey of methods used in probabilistic expert systems for knowledge integration

摘要

A number of papers (and recently even a book) dealing with probabilistic methods for expert systems have appeared during the last five years. Nevertheless, they do not present many different philosophical view-points and methodological tools. This paper surveys the main approaches used to solve the following basic questions connected with the knowledge integration process: What is a relevant criterion for selection of an appropriate probability distribution complying with all the input knowledge? How should this distribution be constructed and represented in a computer memory?