Image Schemas and Conceptual Blending in Diagrammatic Reasoning: The Case of Hasse Diagrams

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Abstract

In this work, we propose a formal, computational model of the sense-making of diagrams by using the theories of image schemas and conceptual blending, stemming from cognitive linguistics. We illustrate our model here for the case of a Hasse diagram, using typed first-order logic to formalise the image schemas and to represent the geometry of a diagram. The latter additionally requires the use of some qualitative spatial reasoning formalisms. We show that, by blending image schemas with the geometrical configuration of a diagram, we can formally describe the way our cognition structures the understanding of, and the reasoning with, diagrams. In addition to a theoretical interest for diagrammatic reasoning, we also briefly discuss the cognitive underpinnings of good practice in diagram design, which are important for fields such as human-computer interaction and data visualization.

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Bourou, D., Schorlemmer, M., & Plaza, E. (2021). Image Schemas and Conceptual Blending in Diagrammatic Reasoning: The Case of Hasse Diagrams. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12909 LNAI, pp. 297–314). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-86062-2_31

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