"Scientific metaphors are called models. They are made with the full knowledge that the connection between the metaphor and the real thing is primarily in the mind of the scientist. And they are made with a clearly definable purpose - as starting points of a deductive process. […] Like every other aspect of scientific procedure, the scientific metaphor is a pragmatic device, to be used freely as long as it serves its purpose, to be discarded without regrets when it fails to do so." (Anatol Rapoport, "Operational Philosophy", 1954)
"But metaphor is an indispensable tool of thought and expression - a characteristic of all human communication, even of that of the scientist. The conceptual models of cybernetics and the energy theories of psycho-analysis are, after all, only labeled metaphors." (Gregory Bateson, "Steps to an Ecology of Mind", 1972)
"Literature is as much a product of the technological and scientific milieu as it is of the artistic one. Some of the large ideas, call them theories or metaphors - that humans are machines, that the observer affects the phenomenon observed, that information can be quantified—alter the way work is done in art. Metaphors invented by artists imply new ways of seeing, demolish mere logic, provoke alternatives, and lead to new theories in science." (David Porush, "The Soft Machine", 1985)
"Encountering new models and metaphors can sometimes fire us with enthusiasm for new explorations and creative leaps into the darkness of the unknown. But models, magical or otherwise, can become subtle traps. It seems all to easy for us to embrace a new model or reality-map, yet to suddenly find that we have bound ourselves within its limitations. But some models are particularly suited for specific tasks and situations. Rather than attempting to stretch one model so that it can account for everything and anything, the Chaos approach encourages one to use the model which is most appropriate to the situation." (Phil Hine, "Condensed Chaos: An Introduction to Cbaos Magic", 1993)
"All sorts of metaphorical interpretations are culturally ingrained. An astute designer will think about these possible interpretations and work with them, rather than against them." (Noah Iliinsky & Julie Steel, "Designing Data Visualizations", 2011)
"Visual metaphors are about integrating a certain visual quality in your work that somehow conveys that extra bit of connection between the data, the design, and the topic. It goes beyond just the choice of visual variable, though this will have a strong influence. Deploying the best visual metaphor is something that really requires a strong design instinct and a certain amount of experience." (Andy Kirk, "Data Visualization: A successful design process", 2012)
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