File:Evolution-of-Collective-Behaviour-in-an-Artificial-World-Using-Linguistic-Fuzzy-Rule-Based-Systems-pone.0168876.s006.ogv

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Original file (Ogg Theora video file, length 1 min 30 s, 854 × 480 pixels, 938 kbps, file size: 10.06 MB)

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English: Video sequence portraying a representative of the evolved dynamic behaviour (evolution no. 10). Prey agents learned to stay inside the borders of the living area, to avoid each other (prevent collisions), to react to predator attacks (see frames 1900–2100, 2700–2900, 3700–3800 and 4700-5100), and to group. Note, however, that in contrast to S2–S4 Videos the prey agents in this case continuously transition between different states (polarized-milling-swarming) which results in the largest proportion of time spent in transition between states. This dynamic behaviour re-stabilizes soon after the disturbances induced by the predator attacks.
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Source S5 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
current02:02, 31 January 20171 min 30 s, 854 × 480 (10.06 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 522 kbps Completed 04:39, 26 August 2018 1 min 30 s
VP9 360P 248 kbps Completed 04:39, 26 August 2018 1 min 2 s
VP9 240P 118 kbps Completed 04:39, 26 August 2018 46 s
WebM 360P 497 kbps Completed 02:03, 31 January 2017 1 min 3 s
QuickTime 144p (MJPEG) 1.01 Mbps Completed 02:57, 25 October 2024 3.0 s

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