Highly-sensitive measure of complexity captures boolean networks regimes and temporal order more optimally

Manuel de J. Luevano, Alejandro Puga

In this work, several random Boolean networks (RBN) are generated and analyzed from two characteristics: their time evolution diagram and their transition diagram. For this purpose…