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28 March 2024
 
  » arxiv » nlin.AO/0408006

 Article overview


Introduction to Random Boolean Networks
Carlos Gershenson ;
Date 2 Aug 2004
Subject Adaptation and Self-Organizing Systems; Cellular Automata and Lattice Gases; Computational Complexity; Statistical Mechanics; Molecular Networks; Quantitative Methods | nlin.AO cond-mat.stat-mech cs.CC nlin.CG q-bio.MN q-bio.QM
AbstractThe 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.
Source arXiv, nlin.AO/0408006
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