摘要
本文在一个属性文法计算模型与语义网络表示模型相结合的综合知识表示模型M_(AS)基础上阐述属性文法计算模型与语义网络表示模型相结合的综合知识表示模型M_(AS)的基本原理、知识的一般表示形式后,提出了对该M_(AS)加以改进的一些基本思想和方法,以使得改进后的M_(AS)可用于表示和推理非精确型的知识。
This paper based on a synthetical knowledge representation model M_(AS) integrating attribute grammar evaluation model with semantic network presents some basic comsideration and improving on M_(AS) after introducted a synthetical knowledge represention model M_(AS) integrating attribute grammar evaluation model with semantic network representation model, so that inexact knowledge can be represented and reasoned by the improved M_(AS).
出处
《武汉大学学报(自然科学版)》
CSCD
1993年第2期14-20,共7页
Journal of Wuhan University(Natural Science Edition)
关键词
属性文法
语义网络
MAS
知识表示
attribute grammar, semantic network, certainty factor, inference rule.