An example model with the corresponding Boolean rules, truth table and model simulation results.

<p>[A] The example model consists of 3 nodes with one activation edge and one partial inhibition edge. The weights of both edges are expressed as selection probability next to the arrow. [B] Two representative Boolean rules were assigned with the corresponding selection probabilities () to represent the example model in PBN format. [C] The truth table of the example model demonstrates the state values according to different inputs. Once both inputs (N1 and N2) are active, the output (N3) has a probability of being ON at 0.6 and of being OFF at 0.4 according to the selection probability of Boolean rules. [D] Three separated Monte-Carlo simulations were performed on an instantaneously random PBN of the example model in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0098001#pone-0098001-g001" target="_blank">Figure 1</a>. The state values of N3 are shown on the y-axis as a function of time. The mean of the N3 state values over 20 time steps is given on the upper right corner of each run.