Nonlinear Sciences – Adaptation and Self-Organizing Systems
Scientific paper
2010-11-08
Physical Review E, Vol. 84 (2011), no. 4, article 041124 (5pp)
Nonlinear Sciences
Adaptation and Self-Organizing Systems
4 pages, 2 figures; v2: revised presentation
Scientific paper
10.1103/PhysRevE.84.041124
The Bak--Sneppen model is a simple stochastic model of evolution that exhibits self-organized criticality and for which few analytical results have been established. In the original Bak-Sneppen model and many subsequent variants, interactions among the evolving species are tied to a specified topology. We report a surprising connection between Bak-Sneppen type models and more tractable Markov processes that evolve without any reference to an underlying topology. Specifically, we show that in the case of a large number of species, the long time behaviour of the fitness profile in the anisotropic Bak--Sneppen model can be replicated by a model with a purely rank-based update rule whose asymptotics can be studied rigorously.
Grinfeld Michael
Knight Philip A.
Wade Andrew R.
No associations
LandOfFree
Bak--Sneppen type models and rank-driven processes does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Bak--Sneppen type models and rank-driven processes, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Bak--Sneppen type models and rank-driven processes will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-131182