Nonlinear Sciences – Adaptation and Self-Organizing Systems
Scientific paper
1994-01-27
Phys. Lett. A 203 (1995) 29-32
Nonlinear Sciences
Adaptation and Self-Organizing Systems
8 p., tar-compressed uuencoded postscript incl. figures, submitted to Phys. Rev. Lett
Scientific paper
10.1016/0375-9601(95)00372-A
We suggest that ensembles of self-replicating entities such as biological systems naturally evolve into a self-organized critical state in which fluctuations, as well as waiting-times between phase transitions are distributed according to a 1/f power law. We demonstrate these concepts by analyzing a population of self-replicating strings (segments of computer-code) subject to mutation and survival of the fittest.
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