Artificial Intelligence in modelling the complexity of Mediterranean landscape transformations

Artificial Intelligence in modelling the complexity of Mediterranean landscape transformations
复制标题

DOI:
10.1016/j.compag.2011.11.009
复制
发表时间:
2012-02
影响因子:
8.3
通讯作者:
F. Papadimitriou
F. Papadimitriou
中科院分区:
农林科学1区
文献类型:
--
作者:
F. Papadimitriou

文献摘要

被引文献

相似文献

在本文中,它是如何创建一个系统,可以通过使用人工智能的方法,指定(a)为用户提供信息的转换Mediterranean型景观的互动方式,(B)允许建模的原因和影响的景观转换(如土地退化)和(c)预测未来的景观变化。该系统由独立运行的程序组成。每个模块只执行特定的任务,并以不同的方式对景观转换建模做出贡献。建模方法的结果在减少景观变换的语义复杂性,而这个模型可以理解的人类和机器。输出包括景观或景观属性的语言描述,沿着定量描述。例如,如果在景观和植被表面观察到某些生态效应,该系统可以推理出某些景观变化的可能原因,如果给出景观变化的某些原因,预期的生态结果是什么。
In this paper, it is shown how a system can be created by using methods of Artificial Intelligence, designated (a) to provide the user with information about the transformations of Mediterranean-type landscapes in an interactive way, (b) to allow the modelling of causes and effects of landscape transformations (such as land degradation) and (c) to forecast future landscape changes. The system consists of programs, which run independently. Each module performs a certain task only and contributes to the modelling of landscape transformations in a different way. The modelling approach results in reducing the semantic complexity of landscape transformations, while this model can be understood by both humans and machines. The output consists in linguistic descriptions of the landscape or landscape properties, along with quantitative descriptions. For instance, the system can reason what have been the possible causes of certain landscape transformations if certain ecological effects are observed on the face of the landscape and reversely, what are the expected ecological results if certain causes of landscape change are given.