基于规则的联想网络

THE ASSOCIATIVE NETWORK BASED ON RULES

本文提出一种用于人工智能专家系统的知识表达方式——基于规则的联想网络(ANBR),ANBR把智能系统获取的知识表达分为内外两种形式.外部形式是基于规则的知识结构,用于知识的获取和知识库管理;内部形式是分块联想网络,用于驱动推理控制.由于把产生式规则的可理解性和模块性与网络的知识索引和联想推理功能结合于同一系统,使ANBR成为专家系统知识表达的有效方式.

A knowledge representation scheme for Al expert systems-the Associative Network Based on Rules (ANBR) is proposed in this paper. By this scheme, the knowledge acquired by an intelligent system is represented in two forms: the outer and the inner. The former is a knowledge structure based on rules and used to acquire knowledge and manage the knowledge base, while the latter is a partitioned associative network and used to direct inference control. Because the ANBR combines the understandability and modularity of production rules and the powers of knowledge indexing and associative inference in networks, it becomes an effective scheme for knowledge representation.