改善专家系统问题求解能力的一种方法

本文介绍一种用结合启发性推理和基于模型的推理来改善专家系统问题求解能力的方法。启发性推理是用规则表示的知识来进行的,而基于模型的推理是用框架表示的知识来进行的。以框架表示的有关模型的知识是存放在传统的关系数据库内,这样利用现有的DBMS(数据库管理系统)简化了知识的存取,增删等工作。规则存于知识库内。该方法吸取了两种推理的优点,提高了效率,改善了系统的问题求解能力。

An Approach to Improving the Problem Solving Ability of Expert Systems

This paper describes an approach to improving the problem solving ability of expert systems by using both heuristic and model-based reas- oning.Heuristic reasoning is based on the knnowledge represeented by rules,and model-based reasoning is based on the kowledge represented by frames.The model knowledge,which is represented by frames,is stored in a conventional relational data base.To take advantages of DBMS (Data Base Management System)simplifies the operation of accessing, adding,modifying and deleting knowledge.The Rules are stored in a knowledge base.This approach takes advantages of borh heuristic and model-based reasoning and improves the efficiency and the problem sol- ving ability of expert systems.