Correction: Identifying influential neighbors in animal flocking

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[This corrects the article DOI: 10.1371/journal.pcbi.1005822.].

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Identifying influential neighbors in animal flocking

Schools of fish and flocks of birds can move together in synchrony and decide on new directions of movement in a seamless way. This is possible because group members constantly share directional information with their neighbors. Although detecting the directionality of other group members is known to be important to maintain cohesion, it is not clear how many neighbors each individual can simul...

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Flocking behaviors are used in games and computer graphics for realistic simulation of massive crowds. Simulation of massive crowds in real time is a computationally intensive task. This intensity mostly comes from the O(n 2 ) complexity of the traversal algorithm. It is because each agent in crowd has to decide for itself which neighbors fall into its environment. There are several algorithms ...

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Flocking in noisy environments

The problem of reaching a consensus in a group of autonomous agents has been the object of study in a number of situations ranging from linguistics [11, 18, 20] to distributed computing [25, 26] and from physics [27] to animal behavior [6, 13, 23, 24]. Research on the latter attempts to explain, by appropriately modeling it, the observed behavior of a group of animals, say a flock of birds, who...

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عنوان ژورنال:

دوره 13  شماره 

صفحات  -

تاریخ انتشار 2017