专家系统中决定式的推理方式

来源期刊：中南大学学报(自然科学版)1990年第3期

论文作者：王云宜

文章页码：307 - 312

关键词：人工智能； 组合； 膨胀/决定式推理方式； 知识库

Key words：artificial intelligence； combination； expansions/deterministic reasoning； knowledge base

摘    要：在以规则为基础表示知识的专家系统中,推理机制通常都是采用“向前推理”,“向后推理”或者“混合推理”。这些推理方式随着规则数目的增多,推理过程的匹配运算呈“组合膨胀”之势,以致极大地影响推理速率和专家系统的实用性。本文提出的一种称之为“决定式推理方式”的推理方法,圆满地解决了传统推理方式上存在的组合膨胀问题。

Abstract: In the conventional rule-based system,several different reasoning methodsare adopted,which take much time.This is a serious problem when the rule-basebecomes very large.This paper gives a new type of reasoning method in expert system,whichis called deterministic reasoning.In this system,all rules in knowledge base arepre-compiled into a knowledge net and a mixed data-driven/object-driven controlstructure is used.The system can raise efficiency greatly.