Figure 1

Sensitivities and AS of an exemplary BF. Each node represents an argument of a BF with n=3 variables, where + stands for + 1 and − represents a −1. A blank node indicates that the corresponding output of the function is 1 while a shaded node represents a −1. The sensitivity of a node is then the number of neighbor-nodes with a different shading. The expected value of these sensitivities is the AS.