拓扑学解释真的不受机制的影响吗?

IF 1.3 4区 生物学 Q3 BIOLOGY Theory in Biosciences Pub Date : 2021-02-01 Epub Date: 2021-01-11 DOI:10.1007/s12064-020-00336-0
Xin Zhang
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引用次数: 0

摘要

生物学中的拓扑解释在很大程度上被认为与机制无关。然而,通过考察哲学文献中的两种经典拓扑解释,本文确定了这两种解释的修正和完整表述中的机制。这是本文的主要工作。本文的次要工作是解决一个后续问题:考虑到这两种拓扑解释包含机制,这是否会显著模糊拓扑解释和机制解释之间广泛假定的边界?我对这个问题的回答是否定的,我提出的论点是,尽管这两种拓扑解释包含机制,但这些机制在解释上与目标属性无关,这与机械解释的情况形成鲜明对比。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Are topological explanations really free of mechanisms?

Topological explanations in biology have been largely assumed to be free of mechanisms. However, by examining two classic topological explanations in the philosophical literature, this article has identified mechanisms in the corrected and complete formulations of both explanations. This constitutes the major work of this article. The minor work of this article is to address a follow-up question: given that these two topological explanations contain mechanisms, would this significantly blur the widely assumed boundary between topological and mechanistic explanations? My answer to this question is negative and the argument I have developed is that although these two topological explanations contain mechanisms, these mechanisms are explanatorily irrelevant to the target properties, which is in stark contrast to the situation in mechanistic explanations.

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来源期刊
Theory in Biosciences
Theory in Biosciences 生物-生物学
CiteScore
2.70
自引率
9.10%
发文量
21
审稿时长
3 months
期刊介绍: Theory in Biosciences focuses on new concepts in theoretical biology. It also includes analytical and modelling approaches as well as philosophical and historical issues. Central topics are: Artificial Life; Bioinformatics with a focus on novel methods, phenomena, and interpretations; Bioinspired Modeling; Complexity, Robustness, and Resilience; Embodied Cognition; Evolutionary Biology; Evo-Devo; Game Theoretic Modeling; Genetics; History of Biology; Language Evolution; Mathematical Biology; Origin of Life; Philosophy of Biology; Population Biology; Systems Biology; Theoretical Ecology; Theoretical Molecular Biology; Theoretical Neuroscience & Cognition.
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