File:Evolution-of-Collective-Behaviour-in-an-Artificial-World-Using-Linguistic-Fuzzy-Rule-Based-Systems-pone.0168876.s004.ogv
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DescriptionEvolution-of-Collective-Behaviour-in-an-Artificial-World-Using-Linguistic-Fuzzy-Rule-Based-Systems-pone.0168876.s004.ogv |
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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This file is licensed under the Creative Commons Attribution 4.0 International license.
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current | 02:01, 31 January 2017 | 1 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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Short title | Video sequence portraying a representative of the evolved milling behaviour (evolution no. 6). |
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Author | Demšar J, Lebar Bajec I |
Usage terms | http://creativecommons.org/licenses/by/4.0/ |
Image title | 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. |
Software used | Xiph.Org libtheora 1.1 20090822 (Thusnelda) |
Date and time of digitizing | 2017 |
Categories:
- Community ecology
- Trophic interactions
- Agent-based modeling
- Videos of systems science
- Videos of animal behavior
- Videos of social behavior of animals
- Videos of cognitive science
- Videos of cognitive psychology
- Videos of social sciences
- Sensory perception
- Videos of evolutionary biology
- Videos of phylogenetics
- Media from PLOS ONE