Critical phenomena | Chaos theory

Self-organized criticality

Self-organized criticality (SOC) is a property of dynamical systems that have a critical point as an attractor. Their macroscopic behavior thus displays the spatial or temporal scale-invariance characteristic of the critical point of a phase transition, but without the need to tune control parameters to a precise value, because the system, effectively, tunes itself as it evolves towards criticality. The concept was put forward by Per Bak, Chao Tang and Kurt Wiesenfeld ("BTW") in a paper published in 1987 in Physical Review Letters, and is considered to be one of the mechanisms by which complexity arises in nature. Its concepts have been applied across fields as diverse as geophysics, physical cosmology, evolutionary biology and ecology, bio-inspired computing and optimization (mathematics), economics, quantum gravity, sociology, solar physics, plasma physics, neurobiology and others. SOC is typically observed in slowly driven non-equilibrium systems with many degrees of freedom and strongly nonlinear dynamics. Many individual examples have been identified since BTW's original paper, but to date there is no known set of general characteristics that guarantee a system will display SOC. (Wikipedia).

Self-organized criticality
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Complexity | Convergence of random variables | Local optimum | Dynamical system | Per Bak | Complex system | Scale invariance | Degrees of freedom (physics and chemistry) | Pink noise | John Horton Conway | Attractor | Bio-inspired computing | Extremal optimization | Conway's Game of Life | Olami–Feder–Christensen model | Econophysics | Simulated annealing | Universality class | Information theory | Detrended fluctuation analysis | Critical exponent | John von Neumann | Tropical geometry | Ilya Prigogine | Self-organized criticality control | Phase transition | Power law | Graph coloring | Critical phenomena | Gutenberg–Richter law | Emergence | Non-equilibrium thermodynamics | Bak–Sneppen model | Abelian sandpile model | Cellular automaton | Dual-phase evolution | Conservation of energy | Fractal | Algorithm | Stanislaw Ulam