Characterising cognitively useful blends: Formalising governing principles of conceptual blending
Sensemaking
Conceptual blending
Governing principles
Image schema
Diagrammatic reasoning
Category theory
DOI:
10.1016/j.cogsys.2024.101245
Publication Date:
2024-05-03T01:44:11Z
AUTHORS (4)
ABSTRACT
Peer reviewed<br/>We propose a model that conceptualises diagrammatic sensemaking and reasoning as blends of image schemas – patterns derived from our perceptual and embodied experiences and interactions with the environment – with the geometric structure of the diagram. Our ultimate goal is to develop an algorithmic method for determining several potential blends that hold cognitive value for observers. Building upon our formal, category-theoretic approach to conceptual blending, we extend it by formalising two governing principles of blending. These principles serve as guides for the blending process, directing the cognitive construction of the blend. As these principles may compete with each other and favour different blend structures, we argue that their combination leads to cognitively useful blends. Through examples of several alternative blends of the geometric configuration of a particular Hasse diagram with the SCALE image schema, we demonstrate the implications of these competing pressures on diagrammatic reasoning. Consequently, this work disambiguates and operationalises the intricacies of conceptual blending, advancing its applicability in computational systems.<br/>The present research was supported by CORPORIS (PID2019-109677RB-I00) funded by Spain’s Agencia Estatal de Investigación; by DIAGRAFIS (202050E243) funded by the Spanish National Research Council (CSIC); by WENET (H2020, 823783) funded by the European Commission; and by the Ajuts per a grups de recerca de Catalunya (2021 SGR 0075) funded by AGAUR, Generalitat de Catalunya, Spain.<br/>
SUPPLEMENTAL MATERIAL
Coming soon ....
REFERENCES (55)
CITATIONS (0)
EXTERNAL LINKS
PlumX Metrics
RECOMMENDATIONS
FAIR ASSESSMENT
Coming soon ....
JUPYTER LAB
Coming soon ....