Computation at the edge of chaos: phase transitions and emergent computation
CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation
The sciences of the artificial (3rd ed.)
The sciences of the artificial (3rd ed.)
Classification of random boolean networks
ICAL 2003 Proceedings of the eighth international conference on Artificial life
Compositional Evolution: The Impact of Sex, Symbiosis, and Modularity on the Gradualist Framework of Evolution (Vienna Series in Theoretical Biology)
The Diffusion of Perturbations in a Model of Coupled Random Boolean Networks
ACRI '08 Proceedings of the 8th international conference on Cellular Automata for Reseach and Industry
Information transfer among coupled random boolean networks
ACRI'10 Proceedings of the 9th international conference on Cellular automata for research and industry
Coupled random boolean network forming an artificial tissue
ACRI'06 Proceedings of the 7th international conference on Cellular Automata for Research and Industry
Artificial Life
Artificial Life
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Random Boolean networks (RBNs) have been a popular model of genetic regulatory networks for more than four decades. However, most RBN studies have been made with random topologies, while real regulatory networks have been found to be modular. In this work, we extend classical RBNs to define modular RBNs. Statistical experiments and analytical results show that modularity has a strong effect on the properties of RBNs. In particular, modular RBNs have more attractors, and are closer to criticality when chaotic dynamics would be expected, than classical RBNs.