论文标题
原因和数学模型的空间
Space of Reasons and Mathematical Model
论文作者
论文摘要
推论关系控制着我们的概念使用。为了理解一个概念，它必须位于含义的空间中。陈述有不同种类的条件，即条件代表不同种类的解释，例如因果或概念解释。关键问题是：如何表示语言使用条件。讨论了模型中表示的概念背景，最后我提出了如何在神经网络的模型中表示命题逻辑和概念确定的含义。
Inferential relations govern our concept use. In order to understand a concept it has to be located in a space of implications. There are different kinds of conditions for statements, i.e. that the conditions represent different kinds of explanations, e.g. causal or conceptual explanations. The crucial questions is: How can the conditionality of language use be represented. The conceptual background of representation in models is discussed and in the end I propose how implications of propositional logic and conceptual determinations can be represented in a model of a neural network.
