File:Evolution-of-Collective-Behaviour-in-an-Artificial-World-Using-Linguistic-Fuzzy-Rule-Based-Systems-pone.0168876.s002.ogv
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[edit]DescriptionEvolution-of-Collective-Behaviour-in-an-Artificial-World-Using-Linguistic-Fuzzy-Rule-Based-Systems-pone.0168876.s002.ogv |
English: Video sequence portraying a representative behaviour for the case of evolutionary runs with no predator present. Local density, polarization and momentum are very low throughout the entire simulation run and the evolved behaviour can be classified as scattered swarming behaviour. The prey agents learned to spread out over the entire living area, to stay inside the borders of the living area, and to avoid each other (prevent collisions). Note that the evolved swarming behaviour is very different with respect to the behaviour that evolved in the case when predators were present (see S2 Video). In the latter case prey learned also to group and react to predator attacks. |
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Source | S1 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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Date/Time | Thumbnail | Dimensions | User | Comment | |
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current | 02:00, 31 January 2017 | 1 min 30 s, 854 × 480 (14.29 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 behaviour for the case of evolutionary runs with no predator present. |
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Author | Demšar J, Lebar Bajec I |
Usage terms | http://creativecommons.org/licenses/by/4.0/ |
Image title | Local density, polarization and momentum are very low throughout the entire simulation run and the evolved behaviour can be classified as scattered swarming behaviour. The prey agents learned to spread out over the entire living area, to stay inside the borders of the living area, and to avoid each other (prevent collisions). Note that the evolved swarming behaviour is very different with respect to the behaviour that evolved in the case when predators were present (see S2 Video). In the latter case prey learned also to group and react to predator attacks. |
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