Abstract
Integration plays a very important role in cognitive process. A large quantity of irrelevant input information is to be integrated or blended into concepts in the neural network system of our brain. With the integrated information, people can more reasonably know the objective world as well as the subjective world. Metaphor cognition is no exception as people can blend those concepts seemingly spread in two irrelevant domains to construct a new integrated concept by matching and mapping the separately stored information in the related brain areas. The notion of blending of metaphorical cognition will be introduced in the following three parts. Part One will introduce the cognitive metaphor theories within the same framework, in particular Conceptual Blending Theory (Fauconnier & Turner, 1998, 2002) and Relevance Theory (Sperber & Wilson, 1986). Part Two will discuss multimodal metaphors by expounding the different modals with which metaphors exist. Part Three will look into how the multimodal metaphor forms an intergraded concept in the neural network system from the perspective of information processing in the brain.
Translated title of the contribution | Blending of metaphorical cognition |
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Original language | Chinese (Simplified) |
Title of host publication | 一般集成論研究(第一輯) |
Editors | Xiaowei Tang |
Place of Publication | China |
Publisher | Zhejiang University Press |
Pages | 250-288 |
Number of pages | 39 |
ISBN (Print) | 9787308124744 |
Publication status | Published - 2013 |
Keywords
- metaphor
- cognition