【摘要】 针对特定领域的知识特点、知识表示方法及采用的推理模型,提出一种基于产生式规则的多知识库专家系统。该系统改进传统专家系统的框架设计,根据求解问题的类别划分将知识库分解成相应的子知识库,再将子知识库的知识规则按知识表示的深度加以分解,建立反映专家经验知识的浅层知识库和原理性知识的深层知识库。系统采用主推理机和从推理机二级推理方式,不同的子知识库采用相应的从推理机。从而任务单一,搜索范围减小,能快速形成待检目标集。主从推理机制与正反向推理结合,提高系统的推理效率。运用该系统模型建造的农业领域专家系统实例,运行效率得到改善,速度显著提高。更多还原

【Abstract】 In this paper, a new rule-based expert system with multiple knowledge databases is designed according to the characteristics of the domain expert knowlege and its representation. Compared with classic expert system, the new system has a number of corresponding knowledge bases according to the sub-problems of a complex problem. And each knowledge base includes a shallow knowledge base of the empirical knowledge and a deep knowledge base of the scientific knowledge. The inference engine of the system adopts two-level inferring structure, the inference at system level and the one of sub-problem, which can reduce the searching space quickly and work efficiently. The system runs well over internet.更多还原