Collective Locomotion as Collective Behavior

1986 ◽  
Vol 51 (4) ◽  
pp. 447 ◽  
Author(s):  
Clark McPhail ◽  
Ronald T. Wohlstein
Keyword(s):  
Collective Behavior ◽  
Collective Locomotion

scholarly journals Emergent Collective Locomotion in an Active Polymer Model of Entangled Worm Blobs

2021 ◽  
Vol 9 ◽  
Author(s):  
Chantal Nguyen ◽  
Yasemin Ozkan-Aydin ◽  
Harry Tuazon ◽  
Daniel. I. Goldman ◽  
M. Saad Bhamla ◽  
...  
Keyword(s):  
Collective Behavior ◽  
Three Dimensional ◽  
Lumbriculus Variegatus ◽  
Polymer Model ◽  
Active Motion ◽  
Arthropod Species ◽  
Dry Conditions ◽  
Two Parameters ◽  
Collective Survival ◽  
Collective Locomotion

Numerous worm and arthropod species form physically-connected aggregations in which interactions among individuals give rise to emergent macroscale dynamics and functionalities that enhance collective survival. In particular, some aquatic worms such as the California blackworm (Lumbriculus variegatus) entangle their bodies into dense blobs to shield themselves against external stressors and preserve moisture in dry conditions. Motivated by recent experiments revealing emergent locomotion in blackworm blobs, we investigate the collective worm dynamics by modeling each worm as a self-propelled Brownian polymer. Though our model is two-dimensional, compared to real three-dimensional worm blobs, we demonstrate how a simulated blob can collectively traverse temperature gradients via the coupling between the active motion and the environment. By performing a systematic parameter sweep over the strength of attractive forces between worms, and the magnitude of their directed self-propulsion, we obtain a rich phase diagram which reveals that effective collective locomotion emerges as a result of finely balancing a tradeoff between these two parameters. Our model brings the physics of active filaments into a new meso- and macroscale context and invites further theoretical investigation into the collective behavior of long, slender, semi-flexible organisms.

scholarly journals Emergent collective locomotion in an active polymer model of entangled worm blobs

2021 ◽  
Author(s):  
Chantal Nguyen ◽  
Yasemin Ozkan-Aydin ◽  
Harry Tuazon ◽  
Daniel I. Goldman ◽  
M. Saad Bhamla ◽  
...  
Keyword(s):  
Collective Behavior ◽  
Three Dimensional ◽  
Lumbriculus Variegatus ◽  
Polymer Model ◽  
Active Motion ◽  
Arthropod Species ◽  
Dry Conditions ◽  
Two Parameters ◽  
Collective Survival ◽  
Collective Locomotion

Numerous worm and arthropod species form physically-connected aggregations in which interactions among individuals give rise to emergent macroscale dynamics and functionalities that enhance collective survival. In particular, some aquatic worms such as the California blackworm (Lumbriculus variegatus) entangle their bodies into dense blobs to shield themselves against external stressors and preserve moisture in dry conditions. Motivated by recent experiments revealing emergent locomotion in blackworm blobs, we investigate the collective worm dynamics by modeling each worm as a self-propelled Brownian polymer. Though our model is two-dimensional, compared to real three-dimensional worm blobs, we demonstrate how a simulated blob can collectively traverse temperature gradients via the coupling between the active motion and the environment. By performing a systematic parameter sweep over the strength of attractive forces between worms, and the magnitude of their directed self-propulsion, we obtain a rich phase diagram which reveals that effective collective locomotion emerges as a result of finely balancing a tradeoff between these two parameters. Our model brings the physics of active filaments into a new meso- and macroscale context and invites further theoretical investigation into the collective behavior of long, slender, semi-flexible organisms.

Voronoi Analysis of a Soccer Game

2004 ◽  
Vol 9 (3) ◽  
pp. 233-240 ◽  
Author(s):  
S. Kim
Keyword(s):  
Collective Behavior ◽  
Quantitative Assessment ◽  
The Other ◽  
Analysis Method ◽  
Random System ◽  
Soccer Game ◽  
Voronoi Polygons ◽  
The Mean

This paper describes a Voronoi analysis method to analyze a soccer game. It is important for us to know the quantitative assessment of contribution done by a player or a team in the game as an individual or collective behavior. The mean numbers of vertices are reported to be 5–6, which is a little less than those of a perfect random system. Voronoi polygons areas can be used in evaluating the dominance of a team over the other. By introducing an excess Voronoi area, we can draw some fruitful results to appraise a player or a team rather quantitatively.

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