A new understanding of metaphors: From collective data to individual cases

Abstract

Most theories on metaphor processing are categorical, focus on semantics, and ignore important empirical findings. In this paper, we show how complex systems science can help us understand the apparently contradictory findings in the literature. We claim that metaphors are best understood as processed by the dynamic interaction between different factors, with dynamically shifting weights, in different time scales. To understand what a metaphor means, we must consider the multidimensional aspects of meaning: a) schemas, frames, scenarios, etc.; b) attributes (e.g., big, cruel, etc.); c) phenomenological schemas (e.g., mappings of visceral sensations); d) valence (positive, neutral, negative), etc. These constructs are not an object in the mind or the same for everyone. They are formed by experiences — with some overlaps, depending on people’s sharing of cultural and embodied similarities. We never know how one person will interpret a metaphor but can make informed guesses based on empirical findings.