| 专家系统中决定式的推理方式 |
| |
| 引用本文： | 王云宜.专家系统中决定式的推理方式[J].中南大学学报(自然科学版),1990(3). |
| |
| 作者姓名： | 王云宜 |
| |
| 作者单位： | 中国矿冶学院计算机科学系 |
| |
| 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。
|
| 关 键 词： | 人工智能 组合 膨胀/决定式推理方式 知识库 |
THE DETERMINISTIC REASONING METHOD IN EXPERT SYSTEM |
| |
| Wang Yunyi.THE DETERMINISTIC REASONING METHOD IN EXPERT SYSTEM[J].Journal of Central South University:Science and Technology,1990(3). |
| |
| Authors: | Wang Yunyi |
| |
| Institution: | Wang Yunyi Department of Computer Science |
| |
| Abstract: | In the conventional rule-based system,several different reasoning methods
are adopted,which take much time.This is a serious problem when the rule-base
becomes very large.
This paper gives a new type of reasoning method in expert system,which
is called deterministic reasoning.In this system,all rules in knowledge base are
pre-compiled into a knowledge net and a mixed data-driven/object-driven control
structure is used.The system can raise efficiency greatly. |
| |
| Keywords: | artificial intelligence combination expansions/deterministic reasoning knowledge base |
| 本文献已被 CNKI 等数据库收录！ |
