摘要
给出了一个产品设计实例推理的Agent结构,该结构由9个模块构成,其中核心模块是学习模块、推理模块和决策模块。学习模块主要采用基于实例的学习方法对实例进行学习训练,推理模块主要采用产生式规则获取推理规则,决策模块采用相似度决策方法对获取知识进行决策判断。
An agent structure for product design case based reasoning is presented. The structure is made of nine modules. Key modules in the structure include a leaning nodule, a reasoning module and a decision-making module. Case based leaning methods are used to train cases in the leaning module. Reasoning rules in the reasoning module are obtained through production rule reasoning. A similarity decision-making method is adopted for decision-making in decision-making.
出处
《现代机械》
2008年第4期68-70,共3页
Modern Machinery
基金
国家自然科学基金资助项目(70501026)
高等学校博士学科点专项科研基金(20060335134)
国家高技术研究发展专项(2006AA04Z116)
关键词
AGENT结构
产品设计实例推理
实例推理学习
实例决策
相似度
agent structure
product design case based reasoning
casc reasoning learning
case decision-making
similarity
