Schemata, Learning and Conceptual Landscapes
نویسنده
چکیده
How are concepts represented? This is a question that must be asked and at least partially answered by any theory of cognition. Within cognitive liguistics one argues that the nature of the cognitive representations determines the structure of language (e. g. Lakoff 1987). The usual approach is to try to reveal the underlying representations by an extensive analysis of human language. I will try the opposite approach and start with an analysis of the representations in neural networks and show that they impose some non-trivial constraints on the nature of conceptual representations that can be used to predict some general properties of human language and its acquisition.
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