Dynamics of cooperative excavation in ant and robot collectives
- Harvard University, United States
Abstract
The solution of complex problems by the collective action of simple agents in both biologically evolved and synthetically engineered systems involves cooperative action. Understanding the resulting emergent solutions requires integrating across the organismal behaviors of many individuals. Here we investigate an ecologically relevant collective task in black carpenter ants Camponotus pennsylvanicus: excavation of a soft, erodible confining corral. Individual ants show a transition from individual exploratory excavation at random locations to spatially localized collective exploitative excavation and eventual excavate out from the corral. An agent minimal continuum theory that coarse-grains over individual actions and considers their integrated influence on the environment leads to the emergence of an effective phase space of behaviors in terms of excavation strength and cooperation intensity. To test the theory over the range of both observed and predicted behaviors, we used custom-built robots (RAnts) that respond to stimuli to characterize the phase space of emergence (and failure) of cooperative excavation. By tuning the amount of cooperation between RAnts, we found that we could vary the efficiency of excavation and synthetically generate the other macroscopic phases predicted by our theory. Overall, our approach shows how the cooperative completion of tasks can arise from simple rules that involve the interaction of agents with a dynamically changing environment that serves as both an enabler and a modulator of behavior.
Data availability
All the data used to generate the figures in the article are available here: https://github.com/sgangaprasath/rantIFigDataThe simulation code used in the article is also available in the same folder.
Article and author information
Author details
Venkatesh N Murthy
Funding
National Science Foundation (PHY1606895,1764269)
- L Mahadevan
Henri Seydoux Fund
- L Mahadevan
National Science Foundation (PHY1606895)
- S Ganga Prasath
Swiss National Science Foundation
- Fabio Giardina
Kavli Institute for Bionano Science and Technology
- Souvik Mandal
- Venkatesh N Murthy
Ford Foundation
- Jordan Kennedy
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Copyright
© 2022, Prasath et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
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Dynamics of cooperative excavation in ant and robot collectives
eLife 11:e79638.
https://doi.org/10.7554/eLife.79638
