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Turing learning: a metric-free approach to inferring behavior and its application to swarms

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Academic year: 2019

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Figure

Fig. 1 An e-puck robot fitted
Fig. 3 Snapshots of the object clustering behavior in simulation. There are 5 agents ((dark blue) and 10 objectsgreen) (Color figure online)
Fig. 4 Model parametersgation and ( Turing Learning inferred from swarms of simulated agents performing (a) aggre-b) object clustering
Fig. 5 Evolutionary dynamics of model parameters for the (a) aggregation and (b) object clustering casestudies
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