How can computer simulations produce new knowledge?

被引:32
|
作者
Beisbart, Claus [1 ]
机构
[1] TU Dortmund, Inst Philosophy & Polit Sci, D-44221 Dortmund, Germany
关键词
Computer simulations; Knowledge; Arguments; Thought experiments; Reasoning; Extended mind hypothesis; THOUGHT EXPERIMENTS; MODELS; GENERATION; GALILEO;
D O I
10.1007/s13194-012-0049-7
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
It is often claimed that scientists can obtain new knowledge about nature by running computer simulations. How is this possible? I answer this question by arguing that computer simulations are arguments. This view parallels Norton's argument view about thought experiments. I show that computer simulations can be reconstructed as arguments that fully capture the epistemic power of the simulations. Assuming the extended mind hypothesis, I furthermore argue that running the computer simulation is to execute the reconstructing argument. I discuss some objections and reject the view that computer simulations produce knowledge because they are experiments. I conclude by comparing thought experiments and computer simulations, assuming that both are arguments.
引用
收藏
页码:395 / 434
页数:40
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