To Model or Not to Model? A Dialogue on the Role of Computational Modeling in Developmental Science.
To Model or Not to Model? A Dialogue on the Role of Computational Modeling in Developmental Science.
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DOI：
10.1111/j.1750-8606.2010.00134.x
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发表时间：
2010-08
影响因子：
6.4
通讯作者：
Spencer JP
中科院分区：
文献类型：
--
作者：
Simmering VR;Triesch J;Deák GO;Spencer JP
所有的科学都使用某种类型的模型来理解复杂的现象。然而，在发展科学中，建模主要限于行为数据的线性、代数描述。一些研究人员认为，发展现象的复杂数学模型是一种可行的(甚至是必要的)工具，它为发展和测试理论以及产生新的假设和预测提供了肥沃的土壤。本文探讨了两种文化之间紧张关系背后的担忧、态度和历史趋势：一种文化是对行为的计算模拟是对观察和实验的重要补充，另一种文化强调来自行为实验的证据和通过语言描述增强的线性模型。这种紧张关系被视为三个人物之间的对话：艾德(实验发展论者)、米拉(模范包容性研究倡导者)和菲尔(科学哲学家)。
All sciences use models of some variety to understand complex phenomena. In developmental science, however, modeling is mostly limited to linear, algebraic descriptions of behavioral data. Some researchers have suggested that complex mathematical models of developmental phenomena are a viable (even necessary) tool that provide fertile ground for developing and testing theory as well as for generating new hypotheses and predictions. This paper explores the concerns, attitudes, and historical trends that underlie the tension between two cultures: one in which computational simulations of behavior are an important complement to observation and experimentation, and another which emphasizes evidence from behavioral experiments and linear models enhanced by verbal descriptions. This tension is explored as a dialogue between three characters: Ed (Experimental Developmentalist), Mira (Modeling Inclusive Research Advocate), and Phil (Philosopher of Science).
影响因子：
3.7
作者：
Westermann, Gert;Mareschal, Denis;Thomas, Michael S. C.
通讯作者：
Thomas, Michael S. C.