摘要
案例推理 (CBR)研究 ,是人类认知的一种合理性模型 ,接近于人类认识、解决问题最原始的思维方式 ,具有在无法获取机理模型、确定规则或统计模型时 ,采用简单的历史相似性推理实现问题的定量求解和预测 ,成为人工智能领域近年来的研究热点。本文从案例推理的发展入手 ,结合地学数据分析 。
As the study object of Geography,Geo spatial system is a typical complex system,consisting of physical, social and economic subsystems. The complexity is an essential characteristic of Geo Spatial System. Thus, the basic essence and mechanism of many geographical phenomena or events have not been revealed, not to mention quantitative analysis and prediction. As an emerging branch of AI, however, Case based Reasoning (CBR), has been regarded as a promising tool to study such a complex system. Since it is a perfect model of human recognition and its working mechanism is very similar to the human primitive reasoning logic, CBR has the inborn ability of quantitative interpretation and prediction simply based on similarity of historical events even there is difficulty to get the working mechanism, principles, or build statistical models for those complex system. Inspired from such a study tool of complex system, the possibility and feasibility of introducing CBR to geographical system study to solve the problem of quantitative interpretation and prediction, has been fully discussed in this paper. And the Geo case based reasoning was promoted, and then give some detail thoughts of this method.
出处
《地球信息科学》
CSCD
2002年第1期98-103,共6页
Geo-information Science
关键词
人工智能
案例推理
地学数据分析
地理案例推理
Geography complexity
Case based reasoning
Geo case based reasoning
Geo data analysis
