Insect swarms and complexity
POSTER
Abstract
Insect swarms exhibit collective behaviors that emerge from the interactions between individual insects. In midges these interactions are thought to be governed by long-range acoustic signals from other insects in the swarm. A model developed by Gorbonos et al [1.] adds the long-range acoustic behavior into an equation of motion to describe midge swarm dynamics. This research compares the results of the previously described model to a random walk model with additional statistical weighting to mimic an insect's response to the acoustic signal. The results of this work may further our understanding of the role randomness plays in swarms and complexity.
[1.] Dan Gorbonos et al, New J. Phys. 2016, 18, 073042.
[1.] Dan Gorbonos et al, New J. Phys. 2016, 18, 073042.
* This research was supported by the Linfield University Student Faculty Collaborative Research Fund.
Presenters
-
Joelle L Murray
Linfield College
Authors
-
Joelle L Murray
Linfield College
-
Lucas Pinard
Linfield University
-
Brendan Perez
Linfield University
-
Sydney Pfleiger
Linfield University
-
Virag Carlile-Kovacs
Linfield University