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Stability and responsiveness in a self-organized living architecture
Simon Garnier1, Tucker Murphy, Matthew Lutz
1Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, United States of America. simon.garnier@gmail.com
Plos Computational Biology
|April 5, 2013
Summary
Army ants form living bridges that are stable against regular traffic but flexible during sudden disruptions. This self-assembly showcases robust, adaptive architecture for efficient organization.
Area of Science:
- Biological self-assembly
- Animal behavior and social organization
- Complex adaptive systems
Background:
- Biological systems require robustness and adaptability for stability and responsiveness.
- Mechanisms for achieving both stability and sensitivity in living organisms are not well understood.
- Army ants form living bridges to traverse gaps, demonstrating a unique form of biological architecture.
Purpose of the Study:
- To investigate the principles governing the stability and adaptability of army ant living bridges.
- To understand the individual-level rules and emergent properties of self-assembled ant structures.
- To reveal general principles of robust and adaptive modular architecture in biological self-assemblies.
Main Methods:
- Field observations of army ant bridge formation and traffic flow.
- Development of a parameterized computational model of ant bridge self-assembly.
- Analysis of model dynamics under varying traffic conditions (periodic vs. sudden interruptions).
Main Results:
- Ant bridges effectively maintain traffic flow over unpredictable terrain.
- Individual ant behavior relies on local traffic intensity and neighbor interactions.
- Computational models predict bridges are maximally stable to periodic fluctuations but responsive to sudden interruptions.
- Field experiments confirm the dual stability and flexibility of living bridges.
Conclusions:
- Army ant living bridges exhibit a remarkable balance of stability and flexibility.
- Local interaction rules among ants lead to robust and adaptive emergent structures.
- This study highlights principles of modular architecture for efficient organization in biological self-assemblies.
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