CASE-BASED REASONING AND LANDSCAPE AGRONOMY

被引：4

作者：

Osty, Pierre-Louis ^{[1
]}

Le Ber, Florence ^{[2
]}

Lieber, Jean ^{[3
]}

机构：

[1] INRA UMR Agir, INRA, Chemin Borde Rouge BP 52627, F-31326 Castanet Tolosan, France

[2] ULP, ENGEES, F-67070 Strasbourg, France

[3] UHP, LORIA, F-54506 Vandoeuvre Les Nancy, France

来源：

REVUE D ANTHROPOLOGIE DES CONNAISSANCES | 2008年 / 2卷 / 02期

关键词：

Agronomy; farming territories; farm surveys; artificial intelligence; case-based reasoning; qualitative spatial modelling; knowledge building;

D O I：

10.3917/rac.004.0169

中图分类号：

C [社会科学总论];

学科分类号：

03 ; 0303 ;

摘要：

This paper brings together the work of agronomists, dealing with the organization of farming territories, with a modelling method developed in artificial intelligence, namely the case-based reasoning. We try to show, through the example of the ROSA project, that the meeting of these two research fields can be profitable, as well for agronomy, searching for qualitative methods in order to better appreciate complexity, as for computer science, confronted with new modelling problems. In particular, we stress that this meeting led to a concrete process of joint knowledge building.

引用

页码：169 / 193

页数：25

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