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Trade-offs in model-building: A more target-oriented approach

机译:模型构建中的权衡:一种面向目标的方法

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In his 1966 paper "The Strategy of model-building in Population Biology", Richard Levins argues that no single model in population biology can be maximally realistic, precise and general at the same time. This is because these desirable model properties trade-off against one another. Recently, philosophers have developed Levins' claims, arguing that trade-offs between these desiderata are generated by practical limitations on scientists, or due to formal aspects of models and how they represent the world. However this project is not complete. The trade-offs discussed by Levins had a noticeable effect on modelling in population biology, but not on other sciences. This raises questions regarding why such a difference holds. I claim that in order to explain this finding, we must pay due attention to the properties of the systems, or targets modelled by the different branches of science.
机译:理查德·莱文斯(Richard Levins)在其1966年的论文“人口生物学中的模型构建策略”中指出,人口生物学中的任何单一模型都不能同时具有最大的现实性,准确性和通用性。这是因为这些理想的模型属性相互权衡。最近,哲学家提出了列文斯的主张,认为这些绝望之间的取舍是由于科学家的实际限制,或者是由于模型的形式方面以及它们如何代表世界。但是,该项目尚未完成。莱文斯讨论的权衡对人口生物学建模产生了显着影响,但对其他科学却没有影响。这引起了关于为何存在这种差异的疑问。我声称,为了解释这一发现,我们必须适当注意系统的属性或由不同科学分支建模的目标。

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