File:Evolution-of-Collective-Behaviour-in-an-Artificial-World-Using-Linguistic-Fuzzy-Rule-Based-Systems-pone.0168876.s005.ogv

Summary

Description
English: Video sequence portraying a representative of the evolved polarized behaviour (evolution no. 12). Polarization is very high and momentum low throughout the entire simulation run and the evolved behaviour can be classified as polarized 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 matching each other’s heading). Prey agents learned also to react to predator attacks (see frames 1800–2000, 2700–2900, 3600–3900 and 4500–5100). Note that soon after the disturbances induced by the predator attacks the polarized behaviour re-stabilizes. Note also that apart from one individual all other prey agents resort to grouping and polarized behaviour, whereas the aforementioned individual does so only occasionally, evidence that in our case the behaviours of prey agents are heterogeneous (see frames 900–2700). For this reason the individual, however, becomes an easy target for the predator that attacks peripheral prey (see frames 2700–2900).
Date
Source S4 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
Permission
(Reusing this file)
w:en:Creative Commons
attribution
This file is licensed under the Creative Commons Attribution 4.0 International license.
You are free:
  • to share – to copy, distribute and transmit the work
  • to remix – to adapt the work
Under the following conditions:
  • attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
Category:CC-BY-4.0#Evolution-of-Collective-Behaviour-in-an-Artificial-World-Using-Linguistic-Fuzzy-Rule-Based-Systems-pone.0168876.s005.ogv
Provenance
InfoField
This file was transferred to Wikimedia Commons from PubMed Central by way of the Open Access Media Importer.
WikiProject Open Access
WikiProject Open Access
Category:Uploaded with Open Access Media Importer
Category:Community ecology Category:Trophic interactions Category:Agent-based modeling Category:Videos of systems science Category:Videos of animal behavior Category:Videos of social behavior of animals Category:Videos about cognitive science Category:Videos of cognitive psychology Category:Videos about social sciences Category:Sensory perception Category:Videos of evolutionary biology Category:Videos of phylogenetics Category:Media from PLOS ONE Category:Uploaded with Open Access Media Importer Category:Uploaded with Open Access Media Importer and needing category review Category:Videos from open-access scholarly articles
Category:Agent-based modeling Category:CC-BY-4.0 Category:Community ecology Category:Media from PLOS ONE Category:Sensory perception Category:Trophic interactions Category:Uploaded with Open Access Media Importer Category:Uploaded with Open Access Media Importer and needing category review Category:Videos about cognitive science Category:Videos about social sciences Category:Videos from open-access scholarly articles Category:Videos of animal behavior Category:Videos of cognitive psychology Category:Videos of evolutionary biology Category:Videos of phylogenetics Category:Videos of social behavior of animals Category:Videos of systems science