4.1.1 Number of Attractors The A results for cases 1, 2, and 3 are shown as boxplots 2 in Figure 5. The primary result is that higher values of κ yield more attractors. Detailed results (including means and standard deviations) and κ values can be seen in Tables A.1, A.2, and A.3 in Appendix A. Notice that for K$_{T}$ = 1, case 2 has the highest κ = 1, since the restriction K = 1 implies L = 0. For K$_{T}$ ≥ 2, case 2 has the lowest κ , and also the lowest A . Case 3 has the highest κ for K$_{T}$ ≥ 2, and also the highest A . These results suggest that favoring intramodular ( K ) over intermodular ( L ) links results in a higher number of attractors. This can be explained as follows: if there is a maximum κ = 1 ⇒ L = 0, Figure 5: Number of Attractors for different K$_{T}$ for cases 1, 2 & 3 ( K = L , K = 1, and L = 1, respectively). Notice logarithmic scale. $^{2}$A boxplot is a non-parametric representation of a statistical distribution. Each box contains the following information: The median ( Q 2 = x$_{0}$$_{.}$$_{50}$ ) is represented by the horizontal line inside the box. The lower edge of the box represents the lower quartile ( Q 1 = x$_{0}$$_{.}$$_{25}$ ) and the upper edge represents the upper quartile ( Q 3 = x$_{0}$$_{.}$$_{75}$ ). The interquartile range ( IQR = x$_{0}$$_{.}$$_{75}$ − x$_{0}$$_{.}$$_{25}$ ) is represented by the height of the box. Data which is less than Q 1 − 1 . 5 · IQR or greater than Q 3+1 . 5 · IQR is considered an “outlier”, and is indicated with circles. The “whiskers” (horizontal lines connected to the box) show the smallest and largest values that are not outliers. 12 K$_{T}$ Number of Attractors 1 2 3 4 1 5 10 50 100 500 1000 K=L K=1 L=1 K=L K=1 L=1 K=L K=1 L=1 K=L K=1 L=1