New draft: Guiding the Self-organization of Random Boolean Networks

Gershenson, C. (2010). Guiding the Self-organization of Random Boolean Networks. C3 Report 2010.05.

Abstract: Random Boolean networks (RBNs) are models of genetic regulatory networks. It is useful to describe RBNs as self-organizing systems to study how changes in the nodes and connections affect the global network dynamics. This article reviews seven different methods for guiding the self-organization of RBNs. In particular, the article is focussed on guiding RBNs towards the critical dynamical regime, which is near the phase transition between the ordered and dynamical phases. The properties and advantages of the critical regime for life, computation, adaptability, evolvability, and robustness are revised. The guidance methods of RBNs can be used for engineering systems with the features of the critical regime, as well as for studying how natural selection evolved living systems, which are also critical.

Full text:

Post a Comment

Popular posts from this blog

Five postdoctoral fellowships in complex systems, UNAM

Paper published: Urban Transfer Entropy across Scales

Bioinformatics Research Professor Position at UNAM