Realism versus instrumentalism in a new statistical framework

被引：4

作者：

Mikkelson, Gregory M.

机构：

[1] McGill Univ, Dept Philosophy, Montreal, PQ H3A 2T7, Canada

[2] McGill Univ, Sch Environm, Montreal, PQ H3A 2T7, Canada

来源：

PHILOSOPHY OF SCIENCE | 2006年 / 73卷 / 04期

关键词：

D O I：

10.1086/516810

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：

In this paper, I offer a new defense of scientific realism, tailored for the Akaikean paradigm of statistical hypothesis testing. After proposing definitions of verisimilitude and predictive success, I use computer simulations to show how the latter depends on the former, even in the kind of case featured in a recent argument for instrumentalism.

引用

页码：440 / 447

页数：8

共 9 条

[1]

Darwin C., 2019, ORIGIN SPECIES MEANS

[2] HOW TO TELL WHEN SIMPLER, MORE UNIFIED, OR LESS AD-HOC THEORIES WILL PROVIDE MORE ACCURATE PREDICTIONS [J].