TY - JOUR
T1 - Bi-stability in cooperative transport by ants in the presence of obstacles
AU - Ron, Jonathan E.
AU - Pinkoviezky, Itai
AU - Fonio, Ehud
AU - Feinerman, Ofer
AU - Gov, Nir S.
N1 - We like to thank Arik Yochelis, Aviram Gelblum, Yael Heyman, Yigal Sternklar, Oran Ayalon and Shlomi Reuveni for discussions. ILAN rehovot branch for assistance in experiments. Funding Statement NSG is the incumbent of the Lee and William Abramowitz Professorial Chair of Biophysics, and acknowledges the support by the Minerva foundation (grant 712601), with funding from the federal German Ministry for Education and Research. This work is made possible through the historic generosity of both the Clore and the Perlman families. OF is the incumbent of the Shloimo and Michla Tomarin Career Development Chair, was supported by the Israeli Science Foundation grant 833/15 and would like to thank the Clore Foundation for their ongoing generosity. EF is the incumbent of the Tom Beck Research Fellow Chair in the Physics of Complex Systems. This research is further supported by the European Research Council (ERC) under the European Unions Horizon 2020 research and innovation program (grant agreement No 648032). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Author Contributions Conceptualization: Jonathan E. Ron, Itai Pinkoviezky, Ehud Fonio, Ofer Feinerman, Nir S. Gov. Data curation: Jonathan E. Ron, Ehud Fonio. Formal analysis: Jonathan E. Ron. Methodology: Jonathan E. Ron, Itai Pinkoviezky, Ehud Fonio, Ofer Feinerman, Nir S. Gov. Software: Jonathan E. Ron. Visualization: Jonathan E. Ron. Writing – original draft: Jonathan E. Ron, Itai Pinkoviezky, Ehud Fonio, Ofer Feinerman, Nir S. Gov. Writing – review & editing: Jonathan E. Ron, Itai Pinkoviezky, Ehud Fonio, Ofer Feinerman, Nir S. Gov.
PY - 2018/5/10
Y1 - 2018/5/10
N2 - To cooperatively carry large food items to the nest, individual ants conform their efforts and coordinate their motion. Throughout this expedition, collective motion is driven both by internal interactions between the carrying ants and a response to newly arrived informed ants that orient the cargo towards the nest. During the transport process, the carrying group must overcome obstacles that block their path to the nest. Here, we investigate the dynamics of cooperative transport, when the motion of the ants is frustrated by a linear obstacle that obstructs the motion of the cargo. The obstacle contains a narrow opening that serves as the only available passage to the nest, and through which single ants can pass but not with the cargo. We provide an analytical model for the ant-cargo system in the constrained environment that predicts a bi-stable dynamic behavior between an oscillatory mode of motion along the obstacle and a convergent mode of motion near the opening. Using both experiments and simulations, we show how for small cargo sizes, the system exhibits spontaneous transitions between these two modes of motion due to fluctuations in the applied force on the cargo. The bi-stability provides two possible problem solving strategies for overcoming the obstacle, either by attempting to pass through the opening, or take large excursions to circumvent the obstacle.
AB - To cooperatively carry large food items to the nest, individual ants conform their efforts and coordinate their motion. Throughout this expedition, collective motion is driven both by internal interactions between the carrying ants and a response to newly arrived informed ants that orient the cargo towards the nest. During the transport process, the carrying group must overcome obstacles that block their path to the nest. Here, we investigate the dynamics of cooperative transport, when the motion of the ants is frustrated by a linear obstacle that obstructs the motion of the cargo. The obstacle contains a narrow opening that serves as the only available passage to the nest, and through which single ants can pass but not with the cargo. We provide an analytical model for the ant-cargo system in the constrained environment that predicts a bi-stable dynamic behavior between an oscillatory mode of motion along the obstacle and a convergent mode of motion near the opening. Using both experiments and simulations, we show how for small cargo sizes, the system exhibits spontaneous transitions between these two modes of motion due to fluctuations in the applied force on the cargo. The bi-stability provides two possible problem solving strategies for overcoming the obstacle, either by attempting to pass through the opening, or take large excursions to circumvent the obstacle.
UR - http://www.scopus.com/inward/record.url?scp=85048159252&partnerID=8YFLogxK
U2 - 10.1371/journal.pcbi.1006068
DO - 10.1371/journal.pcbi.1006068
M3 - مقالة
SN - 1553-7358
VL - 14
JO - PLoS Computational Biology
JF - PLoS Computational Biology
IS - 5
M1 - e1006068
ER -