File:Evolution-of-Collective-Behaviour-in-an-Artificial-World-Using-Linguistic-Fuzzy-Rule-Based-Systems-pone.0168876.s006.ogv
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[edit]DescriptionEvolution-of-Collective-Behaviour-in-an-Artificial-World-Using-Linguistic-Fuzzy-Rule-Based-Systems-pone.0168876.s006.ogv |
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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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 | 02:02, 31 January 2017 | 1 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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Short title | Video sequence portraying a representative of the evolved dynamic behaviour (evolution no. 10). |
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Author | Demšar J, Lebar Bajec I |
Usage terms | http://creativecommons.org/licenses/by/4.0/ |
Image title | 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. |
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 about social sciences
- Sensory perception
- Videos of evolutionary biology
- Videos of phylogenetics
- Media from PLOS ONE