Causal models frame interpretation of mathematical equations

被引:0
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作者
Daniel Mochon
Steven A. Sloman
机构
[1] Brown University,Cognitive and Linguistic Sciences
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关键词
Causal Model; Causal Structure; Modal Choice; Causal Interpretation; Causal Graph;
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摘要
We offer evidence that people can construe mathematical relations as causal. The studies show that people can select the causal versions of equations and that their selections predict both what they consider most understandable and how they expect variables to influence one another. When asked to write down equations, people have a strong preference for the version that matches their causal model. Causal models serve to structure equations by determining the preferred order of variables: Causes should be on one side of an equality, and a single effect should appear on the other.
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页码:1099 / 1104
页数:5
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