Promoting collective motion of self-propelled agents by distance-based influence

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 a is introduced to adjust the influence: The smaller value of a means that the closer neighbors have a stronger influence on the moving direction. We find that there exists an optimal value of a leading to the highest degree of direction consensus. The value of optimal a increases as the system size increases, while it decreases as the absolute velocity, the sensing radius, and the noise amplitude increase.