摘要
大型 AI系统的知识表示方法是人工智能应用的难点 .在提高知识表示能力和降低系统复杂性之间 ,提出基于广义规则的知识表示模式以及该模式知识的存储策略 ,统一了确定性知识和不确定性知识的表示模式 .实验分析表明该方法具有较强的实际应用价值 .
Knowledge representation for AI system of large scale is difficult in the application of AI. The guidance idea of this paper is to go along a middle line between the roads of improving the ability of knowledge representation and controlling the complexities of AI systems. Based on the idea, the knowledge representation mode based on general rule and the storage strategy of the knowledge represented in this mode are proposed, which have unified the representation modes of certain knowledge and uncertain knowledge. This method has preferable value in practical application proved by experiment and analysis.
出处
《武汉理工大学学报（交通科学与工程版）》
北大核心
2004年第1期151-154,共4页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
关键词
知识表示
广义规则
不确定性知识
knowledge representation
general rule
uncertain knowledge
