We then asked members of the public to play an online game (a modified Turing test) in which they attempted to distinguish between the movements of real fish schools or those generated by the model. We first built a self-propelled particle model whose properties (order and cohesion) statistically matched those of real fish schools. But even if a model captures the large-scale statistical properties of the data, should we be satisfied with it? We developed a method, inspired by Alan Turing, to assess the effectiveness of model fitting. A widespread problem in biological research is assessing whether a model adequately describes some real-world data.
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