File:Evolution-of-Collective-Behaviour-in-an-Artificial-World-Using-Linguistic-Fuzzy-Rule-Based-Systems-pone.0168876.s003.ogv

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English: Video sequence portraying a representative of the evolved swarming behaviour (evolution no. 4). Polarization and momentum are very low throughout the entire simulation run and the evolved behaviour can be classified as swarming behaviour. Note that the local density is higher than in the case of evolutions with no predator present (see S1 Video). Prey agents learned to stay inside the borders of the living area, and to avoid each other (prevent collisions). They learned also to group (by circling each other in an unordered fashion) and react to predator attacks (see frames 3700–3800 and 4600–5000). Note that soon after the disturbances induced by the predator attacks the swarming behaviour re-stabilizes.
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Source S2 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
current02:00, 31 January 20171 min 30 s, 854 × 480 (13.39 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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Format Bitrate Download Status Encode time
VP9 480P 662 kbps Completed 04:39, 26 August 2018 1 min 49 s
Streaming 480p (VP9) 662 kbps Completed 01:38, 7 February 2024 2.0 s
VP9 360P 329 kbps Completed 04:38, 26 August 2018 1 min 16 s
Streaming 360p (VP9) 329 kbps Completed 17:28, 13 March 2024 1.0 s
VP9 240P 164 kbps Completed 04:38, 26 August 2018 55 s
Streaming 240p (VP9) 164 kbps Completed 02:12, 21 December 2023 1.0 s
WebM 360P 498 kbps Completed 02:01, 31 January 2017 1 min 6 s
Streaming 144p (MJPEG) 838 kbps Completed 14:27, 10 November 2023 3.0 s

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