Attraction, Dynamics, and Phase Transitions in Fire Ant Tower-Building
| Autor: | Gary K. Nave, Nelson T. Mitchell, Jordan A. Chan Dick, Tyler Schuessler, Joaquin A. Lagarrigue, Orit Peleg |
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| Rok vydání: | 2020 |
| Předmět: |
Robotics and AI
social insects collective construction Computer science lcsh:Mechanical engineering and machinery Computation Distributed computing Swarm robotics swarms and collective behavior self-assembly agent based modeling (ABM) Attraction Measure (mathematics) lcsh:QA75.5-76.95 Computer Science Applications phase transition Artificial Intelligence Key (cryptography) lcsh:TJ1-1570 lcsh:Electronic computers. Computer science Set (psychology) Focus (optics) Tower Original Research |
| Zdroj: | Frontiers in Robotics and AI Frontiers in Robotics and AI, Vol 7 (2020) |
| ISSN: | 2296-9144 |
| Popis: | Many insect species, and even some vertebrates, assemble their bodies to form multi-functional materials that combine sensing, computation, and actuation. The tower-building behavior of red imported fire ants, Solenopsis invicta, presents a key example of this phenomenon of collective construction. While biological studies of collective construction focus on behavioral assays to measure the dynamics of formation and studies of swarm robotics focus on developing hardware that can assemble and interact, algorithms for designing such collective aggregations have been mostly overlooked. We address this gap by formulating an agent-based model for collective tower-building with a set of behavioral rules that incorporate local sensing of neighboring agents. We find that an attractive force makes tower building possible. Next, we explore the trade-offs between attraction and random motion to characterize the dynamics and phase transition of the tower building process. Lastly, we provide an optimization tool that may be used to design towers of specific shapes, mechanical loads, and dynamical properties such as mechanical stability and mobility of the center of mass. |
| Databáze: | OpenAIRE |
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