Evolution in complex systems
arXiv:cond-mat/0406689 · doi:10.1002/cplx.20049
Abstract
What features characterise complex system dynamics? Power laws and scale invariance of fluctuations are often taken as the hallmarks of complexity, drawing on analogies with equilibrium critical phenomena[1-3]. Here we argue that slow, directed dynamics, during which the system's properties change significantly, is fundamental. The underlying dynamics is related to a slow, decelerating but spasmodic release of an intrinsic strain or tension. Time series of a number of appropriate observables can be analysed to confirm this effect. The strain arises from local frustration. As the strain is released through "quakes", some system variable undergoes record statistics with accompanying log-Poisson statistics for the quake event times[4]. We demonstrate these phenomena via two very different systems: a model of magnetic relaxation in type II superconductors and the Tangled Nature model of evolutionary ecology, and show how quantitative indications of ageing can be found.
8 pages, 5 figures all in one file
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- Stability of interlinked neutron vortex and proton flux tube arrays in a neutron star: equilibrium configurations
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- Coarse-graining complex dynamics: Continuous Time Random Walks vs. Record Dynamics
- Tangled Worldview Model of Opinion Dynamics
- Tangled Nature: A model of emergent structure and temporal mode among co-evolving agents
- Two-Time Correlations for Probing the Aging Dynamics of Jammed Colloids
- The Tangled Nature Model of evolutionary dynamics reconsidered: structural and dynamical effects of trait inheritance
- Linear response subordination to intermittent energy release in off-equilibrium aging dynamics
- Thermal shifts and intermittent linear response of aging systems
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- Non-stationary aging dynamics in ant societies
- Dynamic heterogeneity in an orientational glass
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- Extremal noise events, intermittency and Log-Poisson statistics in non-equilibrium aging of complex systems
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- Spin-glass thermo-remanent magnetization revisited: a numerical and analytical study
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