A structuralist approach towards computational scientific discovery

被引：0
|
作者：
Wajnberg, CD
Corruble, V
Ganascia, JG
Moulines, CU
机构：
[1] Univ Paris 06, LIP6, F-75015 Paris, France
[2] Univ Munich, D-80539 Munich, Germany
[3] Ecole Normale Super, F-75230 Paris 05, France
来源：
DISCOVERY SCIENCE, PROCEEDINGS | 2004年 / 3245卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper introduces a new collaborative work between AI and philosophy of science, and an original system for machine discovery. Our present goal is to apply the precepts of a major philosophical methodology, namely structuralism, in order to build theory-nets. The proposed framework handles many kinds of operators, including some that lead to the creation of concepts, and we illustrate how it can create theories with physical concepts in an example from collision mechanics.
引用
收藏
页码：412 / 419
页数：8
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