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引用次数: 7

摘要

传统上,一个概念是通过明确决定其外延的充分必要条件来定义的。相比之下,概念的认知观点试图解释经验数据,这些数据表明,概念下的分类具有典型化效应和一定程度的不确定性。我们提出了一种形式语言,利用加权逻辑公式来紧凑地表示概念。通过这种方式,我们可以模拟与在一个概念下对一个对象进行分类相关的品质之间可能的协同作用。我们表明,我们的建议可以解释一些概念的观点,如原型理论和范例理论。此外,我们还展示了所提出的模型如何克服认知观点的一些局限性。
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Representing Concepts by Weighted Formulas
A concept is traditionally defined via the necessary and sufficient conditions that clearly determine its extension. By contrast, cognitive views of concepts intend to account for empirical data that show that categorisation under a concept presents typicality effects and a certain degree of indeterminacy. We propose a formal language to compactly represent concepts by leveraging on weighted logical formulas. In this way, we can model the possible synergies among the qualities that are relevant for categorising an object under a concept. We show that our proposal can account for a number of views of concepts such as the prototype theory and the exemplar theory. Moreover, we show how the proposed model can overcome some limitations of cognitive views.
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