Promoting collective motion of self-propelled agents by distance-based influence
arXiv:1503.00150 · doi:10.1103/PhysRevE.89.032813
Abstract
We propose a dynamic model for a system consisting of self-propelled agents in which the influence of an agent on another agent is weighted by geographical distance. A parameter is introduced to adjust the influence: the smaller value of means that the closer neighbors have stronger influence on the moving direction. We find that there exists an optimal value of , leading to the highest degree of direction consensus. The value of optimal increases as the system size increases, while it decreases as the absolute velocity, the sensing radius and the noise amplitude increase.
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