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Updated: Jun 20, 2026

The HoneyComb Paradigm for Research on Collective Human Behavior
Published on: January 19, 2019
Collective behaviors of two-component swarms
Sang Koo You1, Dae Hyuk Kwon, Yong-ik Park
1Natural Science Research Institute, Yonsei University, Seoul 120-749, Republic of Korea. skyou@incheon.ac.kr
Abstract:
We present a particle-based simulation study on two-component swarms where there exist two different types of groups in a swarm. Effects of different parameters between the two groups are studied systematically based on Langevin's equation. It is shown that the mass difference can introduce a protective behavior for the lighter members of the swarm in a vortex state. When the self-propelling strength is allowed to differ between two groups, it is observed that the swarm becomes spatially segregated and finally separated into two components at a certain critical value. We also investigate effects of different preferences for shelters on their collective decision making. In particular, it is found that the probability of selecting a shelter from the other varies sigmoidally as a function of the number ratio. The model is shown to describe the dynamics of the shelter choosing process of the cockroach-robot mixed group satisfactorily. It raises the possibility that the present model can be applied to the problems of pest control and fishing using robots and decoys.
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