Introduction to Random Boolean Networks

Abstract

The goal of this tutorial is to promote interest in the study of random Boolean networks (RBNs). These can be very interesting models, since one does not have to assume any functionality or particular connectivity of the networks to study their generic properties. Like this, RBNs have been used for exploring the configurations where life could emerge. The fact that RBNs are a generalization of cellular automata makes their research a very important topic. The tutorial, intended for a broad audience, presents the state of the art in RBNs, spanning over several lines of research carried out by different groups. We focus on research done within artificial life, as we cannot exhaust the abundant research done over the decades related to RBNs.

14 pages, 9 figures. Tutorial to be presented at ALife IX conference. More info at http://homepages.vub.ac.be/~cgershen/rbn/

References in corpus (4)

• Classification of Random Boolean Networks
• Updating Schemes in Random Boolean Networks: Do They Really Matter?
• Phase Transitions in Random Boolean Networks with Different Updating Schemes
• Robust gene regulation: Deterministic dynamics from asynchronous networks with delay

Cited by in corpus (9)

• Measuring the Complexity of Self-organizing Traffic Lights
• Canalization and control in automata networks: body segmentation in Drosophila melanogaster
• A Novel Antifragility Measure Based on Satisfaction and Its Application to Random and Biological Boolean Networks
• A General Methodology for Designing Self-Organizing Systems
• A general representation of dynamical systems for reservoir computing
• Reservoir Computing and Extreme Learning Machines using Pairs of Cellular Automata Rules
• Large-Scale Survey of Cell-Differentiation Programs in a Generative Model Reveals Regeneration as an Epiphenomenon of Development
• Boolean Networks with Multi-Expressions and Parameters
• Analysis of attractor distances in Random Boolean Networks