File:Evolution-of-Collective-Behaviour-in-an-Artificial-World-Using-Linguistic-Fuzzy-Rule-Based-Systems-pone.0168876.s004.ogv

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English: Video sequence portraying a representative of the evolved milling behaviour (evolution no. 6). Polarization is low and momentum high throughout the entire simulation run and the evolved behaviour can be classified as milling behaviour. Note that the local density is higher than in the case when prey behaviour evolved with no predator present (see S1 Video). Prey agents learned to stay inside the borders of the living area, to avoid each other (prevent collisions) and group (by circling around an empty core in an ordered fashion), as well as react to predator attacks (see frames 1900–2100, 2700–2900 and 4700–5000). At frame 4900–4950 one can also observe the formation of a vacuole. Note that soon after the disturbances induced by the predator attacks the milling behaviour re-stabilizes.
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Source S3 Video from Demšar J, Lebar Bajec I (2017). "Evolution of Collective Behaviour in an Artificial World Using Linguistic Fuzzy Rule-Based Systems". PLOS ONE. DOI:10.1371/journal.pone.0168876. PMID 28045964. PMC: 5207603.
Author Demšar J, Lebar Bajec I
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Date/TimeThumbnailDimensionsUserComment
current02:01, 31 January 20171 min 30 s, 854 × 480 (11.75 MB)Open Access Media Importer Bot (talk | contribs)Automatically uploaded media file from Open Access source. Please report problems or suggestions here.

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VP9 480P 589 kbps Completed 04:39, 26 August 2018 1 min 46 s
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VP9 360P 274 kbps Completed 04:39, 26 August 2018 1 min 13 s
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WebM 360P 497 kbps Completed 02:02, 31 January 2017 56 s
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