基于范例推理和自动案例启发的知识获取模型  

Design of Knowledge Acquisition Model Based on Case-based Reasoning and Automatic Case Elicitation

作　　者：董文革[1] 

机构地区：[1]东北电力大学信息工程学院,吉林132012

出　　处：《武汉理工大学学报》2008年第7期149-151,168,共4页Journal of Wuhan University of Technology

摘　　要：利用基于范例推理(CBR,case-based reasoning)和自动案例启发(ACE,automatic case elicitation)二者的特点,提出了一种新的知识获取模型。讨论了该模型的结构、功能,详细阐述了知识获取过程。该模型通过与环境的交互,得到观测资料,并与案例库进行匹配,根据匹配结果,得到响应环境的行为,最终实现知识获取。To utilize characteristic of both case-based reasoning （CBR） and automatic case dicitation （ACE）, the paper put forward a new knowledge acquisition model, The paper discussed the structure and function of the model, and particularly illustraied the procedure of knowledge acquisition, The model could perform knowledge acquisition, after it acquired observations from interacting with the environment, matches cases in the case base, and returned an action of response environment according to the result of matching.

关 键 词：基于范例推理 自动案例启发 知识获取 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]