File:Evolution-of-Collective-Behaviour-in-an-Artificial-World-Using-Linguistic-Fuzzy-Rule-Based-Systems-pone.0168876.s003.ogv
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DescriptionEvolution-of-Collective-Behaviour-in-an-Artificial-World-Using-Linguistic-Fuzzy-Rule-Based-Systems-pone.0168876.s003.ogv |
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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This file is licensed under the Creative Commons Attribution 4.0 International license.
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current | 02:00, 31 January 2017 | 1 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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Short title | Video sequence portraying a representative of the evolved swarming behaviour (evolution no. 4). |
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Author | Demšar J, Lebar Bajec I |
Usage terms | http://creativecommons.org/licenses/by/4.0/ |
Image title | 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. |
Software used | Xiph.Org libtheora 1.1 20090822 (Thusnelda) |
Date and time of digitizing | 2017 |