Nonlinear Sciences – Adaptation and Self-Organizing Systems
Scientific paper
2004-06-24
Nonlinear Sciences
Adaptation and Self-Organizing Systems
4 pages, 3 figures, http://www.santafe.edu/~cmg/compmech/pubs/otmo.htm
Scientific paper
To analyze the evolutionary emergence of structural complexity in physical processes we introduce a general, but tractable, model of objects that interact to produce new objects. Since the objects--\emph{$epsilon$-machines}--have well defined structural properties, we demonstrate that complexity in the resulting population dynamical system emerges on several distinct organizational scales during evolution--from individuals to nested levels of mutually self-sustaining interaction. The evolution to increased organization is dominated by the spontaneous creation of structural hierarchies and this, in turn, is facilitated by the innovation and maintenance of relatively low-complexity, but general individuals.
Crutchfield James P.
Görnerup Olof
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