Suppose that you’re interested in how false beliefs – ‘fake news’ – spread across a population. The problem is extraordinarily complicated. What people come to believe depends on a myriad of factors: which news outlets they read; who their friends and colleagues are; their ability to distinguish between fact and fiction; their social media echo chamber; and so on. A very good way of investigating a complicated phenomenon is to model it. This involves the construction of a simplified version of it and the investigation of the behaviour of that simplified version in order to draw conclusions about the actual system of interest. Both of these steps require a curious and playful outlook.
Modelling Life in Art and Science
Art and science have more in common that they differ in the way they use models
Issue 70, 21st November 2018
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