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Animals and Animats: Why Not Both Iguanas?

机译:动物和动物:为什么不是鬣蜥?

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摘要

Empirically grounded models play an absolutely vital role in science. But science is fundamentally about understanding the natural world, not just accounting for the results of specific experiments. Our distinction between data-driven and theory-driven models aligns closely with the practical/theoretical distinction made in a recent textbook on biological modeling (Ellner & Guckenheimer, 2006). While data-driven models attempt to obtain general insights through the study of specific systems, theory-driven models attempt to study general issues directly by formulating highly simplified models that focus on the commonalities of many specific systems. Both kinds of models are essential to science, and concerns have repeatedly been raised about the dangers of emphasizing data-driven modeling over theory in biology (De Schutter, 2008; Lazeb-nik, 2004; McCollum, 2000).
机译:基于经验的模型在科学中起着至关重要的作用。但是科学从根本上讲是对自然界的理解,而不仅仅是考虑特定实验的结果。我们在数据驱动模型和理论驱动模型之间的区别与最近关于生物建模的教科书中的实践/理论区别非常吻合(Ellner&Guckenheimer,2006)。数据驱动模型试图通过研究特定系统来获得一般性见解,而理论驱动模型则试图通过制定高度简化的模型来直接研究通用问题,这些模型着重于许多特定系统的共性。两种模型对于科学都是必不可少的,并且人们一再提出关注在生物学中强调数据驱动的建模而不是理论的危险(De Schutter,2008; Lazeb-nik,2004; McCollum,2000)。

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  • 来源
    《Adaptive Behavior》 |2009年第4期|296-302|共7页
  • 作者单位

    Cognitive Science Program, 1910 E. 10th St. - 840 Eigenmann, Indiana University, Bloomington, IN 47406, USA Department of Computer Science, Indiana University Department of Informatics, Indiana University;

    Cognitive Science Program, Indiana University;

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  • 入库时间 2022-08-18 03:44:08

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