Figure 6

(A) The property of flocking as the evolution of \(c_m\) in the DYB-S model. (A-(1)) The polarization \(\phi \) as a function of \(c_m\). (A-(2)) The convergence time \(T_{op}\) as a function of \(c_m\). (A-(3–6)) The trajectories of flocking with different \(c_m\). (A-(3–7)) The illustration of bearing change of neighbor with different distance. When the distance \(d_1 < d_2\), it is evident to find that \(\theta _1 > \theta _2\) if the traveling distance is the same. (B) The property of flocking as the evolution of \(\eta \) in the DYB-S model. (B-(1)) The polarization \(\phi \) as a function of noise \(\eta \). (B-(2)) The convergence time \(T_{op}\) as a function of noise \(\eta \). (C) The property of responsivity to stimulus with the evolution of \(c_m\) in the DYB-S model. (C-(1)) The response accuracy \(\delta _{group}\) as a function of \(c_m\). (C-(2)) The response time \(T_{turn}\) as a function of \(c_m\). (C-(3–4)) The trajectories of response to stimulus with different \(c_m\). \(T_{op} = 800\) or \(T_{turn} = 800\) indicate that the group is unable to finish the corresponding case within the total simulation time. Each data point represents the average of 50 simulation runs with the boxplot. Boxplots in the block divided by the dotted line belong to the same data point but are shifted at different positions on the x-axis to be more distinguishable.