互惠因果关系和统计互惠。

IF 1.5 4区 生物学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Tiago Rama
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引用次数: 0

摘要

恩斯特·迈尔对近因解释和终极因果解释的著名区分。他的观点是决定性的,因为进化论不包括进化论。然而,发育过程在进化中的解释性作用是当前理论生物学的一个中心主题,这导致了对Mayr的区分的几次修订。其中一个原因是生物体和环境之间的相互作用影响着进化。这是扩展进化综合理论的基石。这些相互作用是如何融入进化理论的?我认为,这个问题有时可以通过采用基于相互因果关系重新解释的互动主义观点来回答:发育过程(如生态位构建或发育可塑性)与自然选择相互作用,产生进化的特征。在下文中,我将批判性地分析迈尔的批评,以确定基于相互因果关系的重新解释的发展与进化的整合是否是一个合适的选择。我认为情况并非如此,因为这种互动主义框架提出了几个解释性问题。相反,我应该通过采用另一种关于进化因果关系的观点来重新考虑迈尔的区别,这种观点被称为自然选择的统计主义观点,它假定因果关系的唯一层面是个体层面,而最终的解释本质上是统计的。我认为这个框架避免了前面提到的解释性问题。为了探索生物-环境的因果关系和最终解释之间的关系,我引入了“统计互惠”的概念来衡量种群变化中因果关系的统计效应。我将这一建议置于一个我称之为“种群个体遗传学”的总体框架中,它被视为超越互动立场统一发展和进化的一种尝试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Reciprocal Causation and Statistical Reciprocity

Reciprocal Causation and Statistical Reciprocity

Ernst Mayr famously distinguished between proximate and ultimate causal explanations. His view was decisive in the fact that development was not included in the theory of evolution. Nevertheless, the explanatory role of developmental processes in evolution is a central theme of current theoretical biology, which has led to several revisions of Mayr’s distinction. One of the reasons for this is that the interactions between organisms and the environment influence evolution. This is a cornerstone of the Extended Evolutionary Synthesis. How are these reciprocal interactions integrated into evolutionary theory? I will argue that this question can sometimes be answered by adopting an interactivist view based on a reinterpretation of reciprocal causation: developmental processes (such as niche construction or developmental plasticity) interact reciprocally with natural selection to produce evolved traits. In the following, I will critically analyze Mayr’s critics to determine whether the integration of development and evolution based on the reinterpretation of reciprocal causation is an appropriate alternative. I will argue that this is not the case, since this interactivist framework raises several explanatory problems. Instead, I should reconsider Mayr’s distinction by adopting an alternative view of evolutionary causation, known as the statisticalist view of natural selection, which posits that the only level of causation is the individual level and that ultimate explanations are statistical in nature. I argue that this framework avoids the explanatory problems identified earlier. To explore the relationship between organisms–environment reciprocal causation and ultimate explanations, I introduce the concept of ‘statistical reciprocity’ to measure the statistical effects of reciprocal causation in population changes. I situate this proposal within a general framework I call ‘population ontogenetics’, which is seen as an attempt to unify development and evolution beyond interactivist positions.

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来源期刊
Acta Biotheoretica
Acta Biotheoretica 生物-生物学
CiteScore
2.70
自引率
7.70%
发文量
19
审稿时长
3 months
期刊介绍: Acta Biotheoretica is devoted to the promotion of theoretical biology, encompassing mathematical biology and the philosophy of biology, paying special attention to the methodology of formation of biological theory. Papers on all kind of biological theories are welcome. Interesting subjects include philosophy of biology, biomathematics, computational biology, genetics, ecology and morphology. The process of theory formation can be presented in verbal or mathematical form. Moreover, purely methodological papers can be devoted to the historical origins of the philosophy underlying biological theories and concepts. Papers should contain clear statements of biological assumptions, and where applicable, a justification of their translation into mathematical form and a detailed discussion of the mathematical treatment. The connection to empirical data should be clarified. Acta Biotheoretica also welcomes critical book reviews, short comments on previous papers and short notes directing attention to interesting new theoretical ideas.
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