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Scientists used Bayesian network analysis to study how scientific discoveries, specifically about exoplanets, influence science fiction literature. Their research shows a shift from predominantly Earth-like planets in science fiction to more varied and accurate representations post-1995, mirroring actual scientific findings. Credit: SciTechDaily.com
An astronomy lesson on binary stars could begin with a series of complex diagrams and data, or with a clip from the movie Star Wars where Luke Skywalker looks up at the sky of his home planet, Tatooine, and sees two suns shining. Which will more easily awaken the interest of a sleepy high school class?
The Bayesian network methodology allowed for quantitative investigation of a subject matter—science fiction—usually analyzed qualitatively, and often only one work at a time. In a Bayesian network, the characteristics of the exoplanets portrayed in the selected works are represented as nodes in an interconnected network, allowing us to understand how each node affects the others.
Indeed, the large numbers of exoplanets actually observed by science to date contains a vast majority of planets very different from ours, and very rarely positioned in what scientists define as the habitable zone, where conditions are potentially friendlier to life as we know it. This scientific reality, comments Puranen, has percolated into science fiction representation.
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