摘要
案例推理从20世纪90年代初在人工智能领域兴起,在各个领域得到了广泛的发展。由于地理现象的复杂特性,许多现象发生的本质或机理还有待探索,其定量化的模拟和预测还不成熟,因此应用案例推理成为地学数据定量分析的新方法。但地理案例自身特殊的时空特征决定了地理案例的推理方式不同于传统的方式,需要考虑案例自身或者案例之间时空上的相互依赖关系。本文在分析地理案例时空分布特征的基础上,给出了案例推理的地学推理模式。
As an emerging branch of AI, Case-Based Reasoning (CBR) has been focused on by AI experts since 1990' s, and it has been applied in more and more fields, including the field of geography. The mechanism of many geographical phenomena and events have not been revealed because of the complexity of Geo-Spatial System, thus CBR became a new method to analyze geographic data quantitatively. However, due to the spatial-temporal complex characteristics, the reasoning model of geographic cases is different from traditional resoning model, the relationship between geographic cases should be considered. A reasoning model was constructed in detail based on thoroughly analysis of spatial-temporal distribution of geographic cases in this paper.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
2003年第1期91-96,共6页
Pattern Recognition and Artificial Intelligence
基金
国家863计划资助项目(No.818-11-03)
关键词
案例推理
地学
推理模式
地理现象
时空分布
人工智能
知识获取
Case-Based Reasoning (CBR), Geographical Phenomena, Spatial-Temporal Distribution, Reasoning Model