Distinguishing literal from metaphorical applications of Bayesian approaches

Timothy T. Rogers; Mark S. Seidenberg

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Distinguishing literal from metaphorical applications of Bayesian approaches

机译：从贝叶斯方法的隐喻应用中区分文字

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摘要

We distinguish between literal and metaphorical applications of Bayesian models. When intended literally, an isomorphism exists between the elements of representation assumed by the rational analysis and the mechanism that implements the computation. Thus, observation of the implementation can externally validate assumptions underlying the rational analysis. In other applications, no such isomorphism exists, so it is not clear how the assumptions that allow a Bayesian model to fit data can be independently validated.

机译：我们区分贝叶斯模型的文字和隐喻应用。按字面意图，同构存在于理性分析所假设的表示元素与实现计算的机制之间。因此，对实施的观察可以从外部验证理性分析基础上的假设。在其他应用程序中，不存在此类同构，因此尚不清楚如何独立验证允许贝叶斯模型拟合数据的假设。

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《Behavioral and Brain Sciences》 |2011年第4期|p.211-212|共2页
作者
Timothy T. Rogers; Mark S. Seidenberg;
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Department of Psychology, University of Wisconsin-Madison, Madison, Wl 53726;

rnDepartment of Psychology, University of Wisconsin-Madison, Madison, Wl 53726;

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Distinguishing literal from metaphorical applications of Bayesian approaches

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