The Explanatory Power of Network Models

被引：33

作者：

Craver, Carl F. ^{[1
]}

机构：

[1] Washington Univ, Dept Philosophy, 1 Brookings Dr, St Louis, MO 63130 USA

来源：

PHILOSOPHY OF SCIENCE | 2016年 / 83卷 / 05期

关键词：

FUNCTIONAL CONNECTIVITY; ORGANIZATION;

D O I：

10.1086/687856

中图分类号：

N09 [自然科学史]; B [哲学、宗教];

学科分类号：

01 ; 0101 ; 010108 ; 060207 ; 060305 ; 0712 ;

摘要：

Network analysis is increasingly used to discover and represent the organization of complex systems. Focusing on examples from neuroscience in particular, I argue that whether network models explain, how they explain, and how much they explain cannot be answered for network models generally but must be answered by specifying an explanandum, by addressing how the model is applied to the system, and by specifying which kinds of relations count as explanatory.

引用

页码：698 / 709

页数：12

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