摘要
如何建立系统完整的专家知识模型,并将其快速映射为面向计算机推理的人工智能语言是当前专家系统研究的重点和难点,而知识表示是其中的关键。本文将模型驱动的思想引入到专家系统领域,定义了一种基于不确定性产生式知识表示的元模型,设计并实现了相应的图形化建模工具和转换引擎,并基于此提出一种新的产生式系统应用框架。该框架在某健康信息评估专家系统中获得了成功的应用。
The application of expert systems is limited by knowledge representation and artificial intelligence language translation. And knowledge representation is the key issue. Model driven architecture （MDA） is introduced into the expert system, a meta-model based on productive knowledge is defined to support its acquisition and expression. Then, a graphical modeling tool and a code generation engine are designed and implemented, and a new production system framework is realized. The framework is applied in a health information expert system.
出处
《数据采集与处理》
CSCD
北大核心
2009年第B10期332-336,共5页
Journal of Data Acquisition and Processing
关键词
元模型
图形化建模
代码生成
产生式系统
meta model
graphical modeling
code generation
production system
