Boolean Networks and Their Applications in Science and Engineering, Special Issue in Complexity

In the last decades, Boolean networks (BNs) have emerged as an effective mathematical tool to model not only computational processes, but also several phenomena from science and engineering. For this reason, the development of the theory of such models has become a compelling need that has attracted the interest of many research groups in applied mathematics in recent years. Dynamics of BNs are traditionally associated with complexity, since they are composed of many identical elemental units whose behavior is relatively simple in comparison with the behavior of the entire system.


Submission Deadline Friday, 28 December 2018

Publication Date May 2019